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Terradev

REMOTE · TERRADEV-MCP.TERRADEV.CLOUD · 2 COMPONENTS · SCANNED SEP 21

Cross-cloud GPU orchestration CLI.

Available components

remote · terradev-mcp.terradev.cloud 63 pypi · terradev-cli 61
+3 this week 63 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security57
Transport & Reachability40
Schema Quality & AI Usability79
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 27375 tokens (~109/item across 250 items; 245 tools + 5 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
  • Stability check failed: schema churn in the 13 days we've observed: 8 tool removals, 0 breaking changes, 0 auth/transport breaks, 8 additions. See how to fix → Fail
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 21 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "inferx_deploy" implies "deploy" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 246 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Terradev MCP server?

Terradev is a hosted endpoint at https://terradev-mcp.terradev.cloud/sse, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · terradev-mcp.terradev.cloud

# add to Claude Code
claude mcp add --transport http theoddden-terradev 'https://terradev-mcp.terradev.cloud/sse'
// .cursor/mcp.json
{
  "mcpServers": {
    "theoddden-terradev": {
      "url": "https://terradev-mcp.terradev.cloud/sse"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "theoddden-terradev": {
      "type": "http",
      "url": "https://terradev-mcp.terradev.cloud/sse"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.theoddden-terradev]
url = "https://terradev-mcp.terradev.cloud/sse"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "theoddden-terradev": {
      "type": "remote",
      "url": "https://terradev-mcp.terradev.cloud/sse",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add theoddden-terradev --url 'https://terradev-mcp.terradev.cloud/sse' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  theoddden-terradev:
    url: "https://terradev-mcp.terradev.cloud/sse"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "theoddden-terradev": {
      "Transport": "http",
      "Url": "https://terradev-mcp.terradev.cloud/sse"
    }
  }
}
# add to Vellum
assistant mcp add theoddden-terradev -t streamable-http -u 'https://terradev-mcp.terradev.cloud/sse'
// mcp.json
{
  "mcpServers": {
    "theoddden-terradev": {
      "type": "http",
      "url": "https://terradev-mcp.terradev.cloud/sse"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37.

  • 18 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30.

  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23.

  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 13 to 17.

  • 11 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7.

  • 10 Sept 26 0

    We did not load change detail this far back for this component, so this day may have recorded more than is shown.

    • Stability: 0.03 → fail ▼ security
    • A breaking change shipped without a version bump: still 2.0.1 ▼ security
    • Tool “vault_remove” was removed ▼ security
    • Tool “vault_env” was removed ▼ security
    • Tool “vault_verify” was removed ▼ security
    • Tool “vault_get” was removed ▼ security
    • Tool “vault_set” was removed ▼ security
    • Tool “vault_sync” was removed ▼ security
    • Tool “vault_run” was removed ▼ security
    • Tool “vault_list” was removed ▼ security
    • New tool “secrets_run” functional
    • New tool “secrets_get” functional
    • New tool “secrets_list” functional
    • New tool “secrets_env” functional
    • New tool “secrets_set” functional
    • New tool “secrets_remove” functional
    • New tool “secrets_verify” functional
    • New tool “secrets_sync” functional
    • “langchain_create_sglang_pipeline” reworded the description of “credentials” cosmetic
    • “phoenix_otel_env” reworded the description of “credentials” cosmetic
    • “langfuse_score” reworded the description of “credentials” cosmetic
    • “ray_status” reworded the description of “credentials” cosmetic
    • “agent_deploy” reworded the description of “credentials” cosmetic
    • “agent_mem0_get” reworded the description of “credentials” cosmetic
    • “training_launch_distributed” reworded the description of “credentials” cosmetic
    • “price_intel” reworded the description of “credentials” cosmetic
    • “agent_mem0_update” reworded the description of “credentials” cosmetic
    • “vllm_benchmark” reworded the description of “credentials” cosmetic
    • “langchain_create_workflow” reworded the description of “credentials” cosmetic
    • “train_unsloth_run” reworded the description of “credentials” cosmetic
    • “run_workflow” reworded the description of “credentials” cosmetic
    • “sglang_inference” reworded the description of “credentials” cosmetic
    • “status” reworded the description of “credentials” cosmetic
    • “active_context” reworded the description of “credentials” cosmetic
    • “manage_instance” reworded the description of “credentials” cosmetic
    • “warm_pool_start” reworded the description of “credentials” cosmetic
    • “dvc_diff” reworded the description of “credentials” cosmetic
    • “vllm_wake” reworded the description of “credentials” cosmetic
    • “agent_status” reworded the description of “credentials” cosmetic
    • “hf_smart_template” reworded the description of “credentials” cosmetic
    • “provision_gpu” reworded the description of “credentials” cosmetic
    • “train_snapshot” reworded the description of “credentials” cosmetic
    • “checkpoint_delete” reworded the description of “credentials” cosmetic
    • “hf_list_datasets” reworded the description of “credentials” cosmetic
    • “database_weaviate_query” reworded the description of “credentials” cosmetic
    • “sglang” reworded the description of “credentials” cosmetic
    • “deepeval_metrics” reworded the description of “credentials” cosmetic
    • “dvc_status” reworded the description of “credentials” cosmetic
    • “dvc_push” reworded the description of “credentials” cosmetic
    • “langgraph_workflow_status” reworded the description of “credentials” cosmetic
    • “sglang_stop” reworded the description of “credentials” cosmetic
    • “agent_langgraph_status” reworded the description of “credentials” cosmetic
    • “phoenix_spans” reworded the description of “credentials” cosmetic
    • “wandb_run_details” reworded the description of “credentials” cosmetic
    • “phoenix_k8s” reworded the description of “credentials” cosmetic
    • “guardrails_k8s” reworded the description of “credentials” cosmetic
    • “langgraph_orchestrator_worker” reworded the description of “credentials” cosmetic
    • “orchestrator_status” reworded the description of “credentials” cosmetic
    • “langfuse_quality” reworded the description of “credentials” cosmetic
    • “agent_mem0_add” reworded the description of “credentials” cosmetic
    • “get_database_connection” reworded the description of “credentials” cosmetic
    • “cost_simulate” reworded the description of “credentials” cosmetic
    • “helm_generate” reworded the description of “credentials” cosmetic
    • “agent_agentic_serving_show_config” reworded the description of “credentials” cosmetic
    • “qdrant_collections” reworded the description of “credentials” cosmetic
    • “agent_letta_list” reworded the description of “credentials” cosmetic
    • “hf_create_endpoint” reworded the description of “credentials” cosmetic
    • “inferx_usage” reworded the description of “credentials” cosmetic
    • “ollama_model_info” reworded the description of “credentials” cosmetic
    • “guardrails_chat” reworded the description of “credentials” cosmetic
    • “train_stop” reworded the description of “credentials” cosmetic
    • “infer_failover” reworded the description of “credentials” cosmetic
    • “train_resume” reworded the description of “credentials” cosmetic
    • “governance_request_consent” reworded the description of “credentials” cosmetic
    • “ollama_pull” reworded the description of “credentials” cosmetic
    • “dvc_stage_checkpoint” reworded the description of “credentials” cosmetic
    • “agent_langchain_create_langgraph” reworded the description of “credentials” cosmetic
    • “analytics” reworded the description of “credentials” cosmetic
    • “langgraph_create_workflow” reworded the description of “credentials” cosmetic
    • “sglang_start” reworded the description of “credentials” cosmetic
    • “agent_cost” reworded the description of “credentials” cosmetic
    • “agent_skill_attach” reworded the description of “credentials” cosmetic
    • “preflight” reworded the description of “credentials” cosmetic
    • “qdrant_info” reworded the description of “credentials” cosmetic
    • “agent_teardown” reworded the description of “credentials” cosmetic
    • “train_monitor” reworded the description of “credentials” cosmetic
    • “egress_cheapest_route” reworded the description of “credentials” cosmetic
    • “agent_agentic_serving_launch_args” reworded the description of “credentials” cosmetic
    • “inferx_list” reworded the description of “credentials” cosmetic
    • “database_weaviate_list_collections” reworded the description of “credentials” cosmetic
    • “hf_delete_endpoint” reworded the description of “credentials” cosmetic
    • “vllm_analyze” reworded the description of “credentials” cosmetic
    • “hf_list_endpoints” reworded the description of “credentials” cosmetic
    • “inferx_quote” reworded the description of “credentials” cosmetic
    • “query_database” reworded the description of “credentials” cosmetic
    • “ray_start” reworded the description of “credentials” cosmetic
    • “price_trends” reworded the description of “credentials” cosmetic
    • “checkpoint_list” reworded the description of “credentials” cosmetic
    • “k8s_create” reworded the description of “credentials” cosmetic
    • “hf_model_info” reworded the description of “credentials” cosmetic
    • “preflight_report” reworded the description of “credentials” cosmetic
    • “ollama_ps” reworded the description of “credentials” cosmetic
    • “vllm_info” reworded the description of “credentials” cosmetic
    • “inferx_optimize” reworded the description of “credentials” cosmetic
    • “hf_space_deploy” reworded the description of “credentials” cosmetic
    • “orchestrator_register” reworded the description of “credentials” cosmetic
    • “lora_remove” reworded the description of “credentials” cosmetic
    • “infer_route” reworded the description of “credentials” cosmetic
    • “inferx_status” reworded the description of “credentials” cosmetic
    • “hf_hardware_compare” reworded the description of “credentials” cosmetic
    • “k8s_list” reworded the description of “credentials” cosmetic
    • “checkpoint_save” reworded the description of “credentials” cosmetic
    • “agent_letta_delete” reworded the description of “credentials” cosmetic
    • “agent_langgraph_deploy” reworded the description of “credentials” cosmetic
    • “agent_vector_db_up” reworded the description of “credentials” cosmetic
    • “vllm_auto_optimize” reworded the description of “credentials” cosmetic
    • “create_sqlite_connection” reworded the description of “credentials” cosmetic
    • “train_status” reworded the description of “credentials” cosmetic
    • “agent_skill_init” reworded the description of “credentials” cosmetic
    • “langfuse_datasets” reworded the description of “credentials” cosmetic
    • “governance_record_consent” reworded the description of “credentials” cosmetic
    • “agent_letta_status” reworded the description of “credentials” cosmetic
    • “agent_letta_chat” reworded the description of “credentials” cosmetic
    • “database_weaviate_create_collection” reworded the description of “credentials” cosmetic
    • “hf_endpoint_info” reworded the description of “credentials” cosmetic
    • “ray_stop” reworded the description of “credentials” cosmetic
    • “ml_vllm_lora_sync” reworded the description of “credentials” cosmetic
    • “phoenix_snippet” reworded the description of “credentials” cosmetic
    • “agent_langchain_test” reworded the description of “credentials” cosmetic
    • “mlflow_log_run” reworded the description of “credentials” cosmetic
    • “agent_langgraph_test” reworded the description of “credentials” cosmetic
    • “egress_optimize_staging” reworded the description of “credentials” cosmetic
    • “agent_mem0_search” reworded the description of “credentials” cosmetic
    • “inferx_delete” reworded the description of “credentials” cosmetic
    • “guardrails_generate_config” reworded the description of “credentials” cosmetic
    • “k8s_device_plugin” reworded the description of “credentials” cosmetic
    • “mlflow_register_model” reworded the description of “credentials” cosmetic
    • “mlflow_list_experiments” reworded the description of “credentials” cosmetic
    • “agent_mem0_forget” reworded the description of “credentials” cosmetic
    • “k8s_gpu_operator_install” reworded the description of “credentials” cosmetic
    • “agent_scale” reworded the description of “credentials” cosmetic
    • “local_scan” reworded the description of “credentials” cosmetic
    • “orchestrator_load” reworded the description of “credentials” cosmetic
    • “deepeval_init” reworded the description of “credentials” cosmetic
    • “langfuse_configure” reworded the description of “credentials” cosmetic
    • “agent_langchain_create_workflow” reworded the description of “credentials” cosmetic
    • “orchestrator_start” reworded the description of “credentials” cosmetic
    • “agent_letta_create” reworded the description of “credentials” cosmetic
    • “hf_space_status” reworded the description of “credentials” cosmetic
    • “preflight_gpu_check” reworded the description of “credentials” cosmetic
    • “k8s_time_slicing” reworded the description of “credentials” cosmetic
    • “stage” reworded the description of “credentials” cosmetic
    • “cost_optimize_recommend” reworded the description of “credentials” cosmetic
    • “agent_agentic_serving_configure” reworded the description of “credentials” cosmetic
    • “manifests” reworded the description of “credentials” cosmetic
    • “optimize” reworded the description of “credentials” cosmetic
    • “hf_list_models” reworded the description of “credentials” cosmetic
    • “agent_agentic_serving_k8s” reworded the description of “credentials” cosmetic
    • “ray_disagg_pd_deploy” reworded the description of “credentials” cosmetic
    • “kserve_generate_yaml” reworded the description of “credentials” cosmetic
    • “agent_agentic_serving_helm_values” reworded the description of “credentials” cosmetic
    • “wandb_list_projects” reworded the description of “credentials” cosmetic
    • “ray_submit_job” reworded the description of “credentials” cosmetic
    • “phoenix_test” reworded the description of “credentials” cosmetic
    • “ollama_generate” reworded the description of “credentials” cosmetic
    • “ollama_chat” reworded the description of “credentials” cosmetic
    • “vllm_sleep” reworded the description of “credentials” cosmetic
    • “create_postgresql_connection” reworded the description of “credentials” cosmetic
    • “agent_plan” reworded the description of “credentials” cosmetic
    • “preflight_network_check” reworded the description of “credentials” cosmetic
    • “langfuse_export_training_data” reworded the description of “credentials” cosmetic
    • “ml_vllm_lora_unload” reworded the description of “credentials” cosmetic
    • “langfuse_trace” reworded the description of “credentials” cosmetic
    • “qdrant_test” reworded the description of “credentials” cosmetic
    • “ml_vllm_lora_load” reworded the description of “credentials” cosmetic
    • “governance_compliance_report” reworded the description of “credentials” cosmetic
    • “k8s_info” reworded the description of “credentials” cosmetic
    • “langfuse_test” reworded the description of “credentials” cosmetic
    • “wandb_dashboard_status” reworded the description of “credentials” cosmetic
    • “ray_wide_ep_deploy” reworded the description of “credentials” cosmetic
    • “deepeval_evaluate” reworded the description of “credentials” cosmetic
    • “up” reworded the description of “credentials” cosmetic
    • “ollama_list” reworded the description of “credentials” cosmetic
    • “qdrant_create_collection” reworded the description of “credentials” cosmetic
    • “orchestrator_infer” reworded the description of “credentials” cosmetic
    • “hf_hardware_recommend” reworded the description of “credentials” cosmetic
    • “upsert_database” reworded the description of “credentials” cosmetic
    • “agent_mem0_configure” reworded the description of “credentials” cosmetic
    • “orchestrator_evict” reworded the description of “credentials” cosmetic
    • “gpu_topology” reworded the description of “credentials” cosmetic
    • “langgraph_evaluation_workflow” reworded the description of “credentials” cosmetic
    • “qdrant_count” reworded the description of “credentials” cosmetic
    • “wandb_setup_alerts” reworded the description of “credentials” cosmetic
    • “inferx_configure” reworded the description of “credentials” cosmetic
    • “agent_mem0_test” reworded the description of “credentials” cosmetic
  • 9 Sept 26 +1

    We did not load change detail this far back for this component, so this day may have recorded more than is shown.

  • 8 Sept 26 57

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 21 Sept 2026 · Probed https://terradev-mcp.terradev.cloud/sse

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=terradev-mcp.terradev.cloud CN=YE2,O=Let's Encrypt,C=US 6 Sept 2026 5 Dec 2026 ECDSA 256 ECDSA-SHA384 58263747fed9509679e157640b1f7fb9a51
SANs: terradev-mcp.terradev.cloud
CN=YE2,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of terradev-mcp.terradev.cloud. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
cloud. present 7041 13 Verified
terradev.cloud. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 308

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
sse https://terradev-mcp.terradev.cloud/sse Verified 200
http (plaintext) http://terradev-mcp.terradev.cloud/sse HTTPS enforced 308 https://terradev-mcp.terradev.cloud/sse
MCP tools · 245 exposed · ~27,281 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
inferx_delete ~99

Delete an InferX model deployment.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
model_idstringyesModel deployment ID to delete

No output schema declared.

No examples provided.

inferx_deploy ~127

Deploy model to InferX serverless platform

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
gpu_typestringyesGPU type for inference
modelstringyesModel ID (e.g., meta-llama/Llama-2-7b-hf)

No output schema declared.

No examples provided.

inferx_list ~85

List deployed InferX models

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

inferx_optimize ~87

Get cost analysis for inference endpoints

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

inferx_quote ~89

Get InferX pricing quotes for a GPU type.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

inferx_status ~85

Check InferX endpoint status

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

inferx_usage ~95

Get InferX account usage statistics: requests, cost, GPU hours, latency.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_create ~116

Create Kubernetes cluster with GPU nodes for optimal multi-cloud deployment

NameTypeReqDescription
cluster_namestringyesName of the cluster
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
gpu_typestringyesGPU type for nodes

No output schema declared.

No examples provided.

k8s_destroy ~99

Destroy a Kubernetes cluster

NameTypeReqDescription
cluster_namestringyesName of the cluster to destroy
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_device_plugin ~110

Configure Kubernetes GPU device plugin settings: time-slicing, MIG strategy, and resource naming.

NameTypeReqDescription
cluster_namestringyesTarget cluster name
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_gpu_operator_install ~119

Install NVIDIA GPU Operator on a Kubernetes cluster. Configures driver containers, device plugin, DCGM exporter, and GPU Feature Discovery.

NameTypeReqDescription
cluster_namestringyesTarget cluster name
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_info ~99

Get information about a specific cluster

NameTypeReqDescription
cluster_namestringyesName of the cluster
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_list ~84

List Kubernetes clusters

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

k8s_mig_configure ~136

Configure Multi-Instance GPU (MIG) partitioning on A100/H100 GPUs. Splits a single GPU into isolated instances for multi-tenant workloads.

NameTypeReqDescription
cluster_namestringyesTarget cluster name
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
mig_profilestringyesMIG profile

No output schema declared.

No examples provided.

k8s_time_slicing ~115

Configure GPU time-slicing for Kubernetes. Allows multiple pods to share a single GPU with configurable oversubscription.

NameTypeReqDescription
cluster_namestringyesTarget cluster name
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

kserve_generate_yaml ~170

Generate a GPU-aware KServe InferenceService YAML manifest with NUMA pinning, resource limits derived from model size and VRAM, and topology hints.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
gpu_typestringyesGPU type (e.g. A100, H100)
model_namestringyesModel name for the InferenceService
model_uristringyesModel storage URI (e.g. s3://bucket/model or gs://bucket/model)

No output schema declared.

No examples provided.

kserve_list ~90

List KServe InferenceServices in a Kubernetes namespace.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

kserve_status ~109

Get detailed status of a KServe InferenceService including readiness, traffic split, and URL.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
namestringyesInferenceService name

No output schema declared.

No examples provided.

langchain_create_sglang_pipeline ~138

Create an SGLang model-serving pipeline via LangChain. Connects LangChain agents to SGLang inference endpoints.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
pipeline_configobjectyesPipeline config (model, endpoint, temperature, max_tokens)

No output schema declared.

No examples provided.

langchain_create_workflow ~117

Create a LangChain workflow.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
workflow_configobjectyesWorkflow configuration (name, steps, model, tools)

No output schema declared.

No examples provided.

langfuse_configure ~132

Configure Langfuse credentials (public key, secret key, host URL).

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
public_keystringyesLangfuse public key (pk-lf-...)
secret_keystringyesLangfuse secret key (sk-lf-...)

No output schema declared.

No examples provided.

langfuse_datasets ~93

List Langfuse datasets for evaluation and fine-tuning.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_export_training_data ~104

Export Langfuse traces as instruction/response pairs for LoRA fine-tuning. Filters by quality score.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_k8s ~94

Generate Kubernetes deployment manifest for self-hosted Langfuse.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_otel_env ~101

Print OTEL environment variables for instrumenting LLM apps to send traces to Langfuse.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_quality ~93

Get aggregated quality metrics from Langfuse scores for drift detection.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_score ~138

Create an evaluation score for a Langfuse trace (e.g. quality, accuracy, relevance).

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
namestringyesScore name (e.g. quality, accuracy)
trace_idstringyesTrace ID to score
valuenumberyesNumeric score value

No output schema declared.

No examples provided.

langfuse_scores ~96

List evaluation scores from Langfuse, optionally filtered by trace or score name.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_test ~90

Test Langfuse connectivity and list accessible projects.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langfuse_trace ~103

Get a single Langfuse trace with all observations/spans.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
trace_idstringyesTrace ID

No output schema declared.

No examples provided.

langfuse_traces ~91

List recent LLM traces from Langfuse.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

langgraph_create_workflow ~131

Create a LangGraph stateful workflow with monitoring. Supports agent graphs, tool calling, and state persistence.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
graph_configobjectyesGraph configuration (nodes, edges, state_schema)

No output schema declared.

No examples provided.

langgraph_evaluation_workflow ~135

Create an evaluator-optimizer workflow in LangGraph. Generates outputs, evaluates quality, and iteratively improves.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
evaluation_configobjectyesEvaluation config (generator_prompt, evaluator_criteria, max_iterations)

No output schema declared.

No examples provided.

langgraph_orchestrator_worker ~138

Create an orchestrator-worker pattern workflow in LangGraph. The orchestrator delegates tasks to specialized worker agents.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
workflow_configobjectyesOrchestrator-worker config (orchestrator_prompt, workers, routing_strategy)

No output schema declared.

No examples provided.

langgraph_workflow_status ~117

Get the status and metrics of a LangGraph workflow execution.

NameTypeReqDescription
api_keystringyesLangChain API key
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
workflow_idstringyesWorkflow ID to check

No output schema declared.

No examples provided.

local_scan ~98

Scan local machine and network for available GPU devices. Returns total VRAM pool for local-first provisioning.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

lora_add ~195

Hot-load a LoRA adapter onto a running vLLM endpoint. The adapter becomes immediately available as a model name for inference requests. Uses vLLM's fused_moe_lora kernel for 454% higher output tokens/sec on MoE models.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint URL (e.g. http://10.0.0.1:8000)
namestringyesAdapter name (becomes the model name in API requests)
pathstringyesPath to adapter weights (local path or HuggingFace ID)

No output schema declared.

No examples provided.

lora_list ~131

List LoRA adapters loaded on a running vLLM endpoint. Shows base models and hot-loaded fine-tuned adapters.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint URL (e.g. http://10.0.0.1:8000)

No output schema declared.

No examples provided.

lora_remove ~141

Hot-unload a LoRA adapter from a running vLLM endpoint. Frees GPU memory for other adapters.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint URL (e.g. http://10.0.0.1:8000)
namestringyesAdapter name to unload

No output schema declared.

No examples provided.

manage_instance ~107

Manage GPU instances (stop/start/terminate)

NameTypeReqDescription
actionstringyesAction to perform
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
instance_idstringyesInstance ID

No output schema declared.

No examples provided.

manifests ~85

List cached manifests and versions for jobs.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…

No output schema declared.

No examples provided.

ml_vllm_lora_link ~119

Load the active registry version of an adapter onto a vLLM server.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint
namestringyesRegistered adapter name

No output schema declared.

No examples provided.

ml_vllm_lora_list ~107

List LoRA adapters currently loaded on a vLLM server.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint

No output schema declared.

No examples provided.

ml_vllm_lora_load ~129

Hot-load a LoRA adapter onto a running vLLM server.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint
namestringyesAdapter name
pathstringyesLocal path to adapter weights

No output schema declared.

No examples provided.

ml_vllm_lora_sync ~121

Synchronize an adapter from the registry across multiple vLLM replicas.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
namestringyesRegistered adapter name
replicasstringyesComma-separated host:port list

No output schema declared.

No examples provided.

ml_vllm_lora_unload ~121

Hot-unload a LoRA adapter from a running vLLM server.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
endpointstringyesvLLM endpoint
namestringyesAdapter name to unload

No output schema declared.

No examples provided.

mlflow_list_experiments ~105

List MLflow experiments on the configured tracking server.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
tracking_uristringyesMLflow tracking server URI

No output schema declared.

No examples provided.

mlflow_log_run ~142

Log a Terradev training run to MLflow with auto-injected GPU type, provider, cost/hr, and duration as params.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
experiment_namestringyesMLflow experiment name
run_namestringyesRun display name
tracking_uristringyesMLflow tracking server URI

No output schema declared.

No examples provided.

mlflow_register_model ~136

Register a trained model in the MLflow model registry with Terradev provenance tags.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
model_namestringyesModel registry name
run_idstringyesMLflow run ID that produced the model
tracking_uristringyesMLflow tracking server URI

No output schema declared.

No examples provided.

moe_deploy ~257

Deploy Mixture-of-Experts models with production-ready cluster templates. Auto-applies vLLM cost optimizations (KV cache offloading for up to 9x throughput, MTP speculative decoding for up to 2.8x speed, sleep mode for 18-200x faster restarts). Supports GLM-5, Qwen 3.5, Mistral Large 3, DeepSeek V4, Llama 5. Configures NVLink topology, tensor parallelism, FP8 quantization, vLLM/SGLang backends, and GPU-aware HPA autoscaling.

NameTypeReqDescription
credentialsobject–BYOAPI — your own provider credentials as env vars for this call only (never stored). E.g. {"RUNPOD_API_KEY": "..."}, {"AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "..."}, or the TERRADEV_<PR…
gpu_typestringyesGPU type for MoE serving
model_idstringyesHuggingFace model ID (e.g., zai-org/GLM-5-FP8, Qwen/Qwen3.5-397B-A17B)

No output schema declared.

No examples provided.

Common questions

What is the Terradev MCP server?

Terradev is an MCP server listed in the public MCP registry as io.github.theoddden/terradev. Cross-cloud GPU orchestration CLI. This page covers its hosted endpoint (https://terradev-mcp.terradev.cloud/sse).

Is the Terradev MCP server safe to use?

Terradev scores 63 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Terradev MCP server expose?

Terradev exposes 245 tools: provision_gpu, preflight_report, preflight_gpu_check, preflight_network_check, local_scan, and 240 more. Their descriptions and schemas cost roughly 27,281 tokens of context every time the server is loaded.

Does the Terradev MCP server require authentication?

No. We connected to Terradev without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Terradev MCP server still maintained?

Terradev is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.