LLM Provider MCP
MCPB · LLM-PROVIDER-MCP_LINUX_AMD64.MCPB · 4 COMPONENTS
Delegate asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi.
Last scanned (6 hours ago)
Scores higher than 89% of MCPB servers
Category Developer Tools
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 112 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 578 tokens (~115/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 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
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 4 Nov 26 −2
- Provenance: unverified → fail ▼ security
- Stability: pass → 0.87 functional
- 3 Nov 26 0
- Provenance: fail → unverified ▼ security
- 29 Oct 26 0
- Stability: 0.97 → pass security
- 28 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Oct 26 +2
- Maintenance: unverified → pass ▲ functional
- 24 Oct 26 0
- Maintenance: pass → unverified ▼ functional
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
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 5 Nov 2026 · Analysed mcpb/https://github.com/manishiitg/llm-provider-mcp/releases/download/v0.7.3/llm-provider-mcp_linux_amd64.mcpb
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | mcpb |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
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 →
cancel_coding_agent_job ~41
Request cooperative cancellation of a queued or running coding-agent job.
| Name | Type | Req | Description |
|---|---|---|---|
| job_id | string | yes | Opaque job ID returned by delegate_coding_agent. |
No output schema declared.
No examples provided.
delegate_coding_agent ~173
Start an unattended coding-agent CLI job in the background. Returns immediately with a job_id; call get_coding_agent_job later for progress and the final result. Standard coding tools run without approval prompts in the trusted working_dir, using provider sandboxing where available.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Optional provider-specific model selector. |
| provider | string | yes | Provider ID returned by list_coding_agents, such as codex-cli, cursor-cli, claude-code, or pi-cli. |
| task | string | yes | Complete task for the delegated coding agent. |
| timeout_seconds | number | – | Maximum job duration in seconds. Defaults to 2700 and cannot exceed 86400. |
| working_dir | string | yes | Current trusted project root. Infer this from the host session; do not ask the user to enter it. |
No output schema declared.
No examples provided.
get_coding_agent_job ~107
Get a delegated coding-agent job's status and recent progress. Set include_terminal_output=true for a bounded plain-text snapshot of the active tmux pane when progress needs inspection. A completed response contains the final result. Respect poll_after_seconds before checking again.
| Name | Type | Req | Description |
|---|---|---|---|
| include_terminal_output | boolean | – | Capture the active tmux pane and include its latest plain-text output. Keep false for lightweight polling. |
| job_id | string | yes | Opaque job ID returned by delegate_coding_agent. |
No output schema declared.
No examples provided.
list_coding_agent_models ~42
List curated model selectors and dynamic model-discovery guidance for one coding-agent provider.
| Name | Type | Req | Description |
|---|---|---|---|
| provider | string | yes | Provider ID returned by list_coding_agents. |
No output schema declared.
No examples provided.
list_coding_agents ~21
List coding-agent CLI providers that can receive delegated jobs.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
How do I install the LLM Provider MCP server?
LLM Provider MCP ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. The MCP registry declares no SHA-256 for this bundle, so there is no published digest to check the download against.
mcpb · llm-provider-mcp_linux_amd64.mcpb
Download bundleThe MCP registry declares no SHA-256 for this bundle, so there is no published digest to check it against. Open it with an MCPB-capable host such as Claude Desktop.
What is the LLM Provider MCP server?
LLM Provider MCP is listed in the public MCP registry as io.github.manishiitg/llm-provider-mcp. Delegate asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi. This page covers its MCPB bundle (https://github.com/manishiitg/llm-provider-mcp/releases/download/v0.7.3/llm-provider-mcp_linux_amd64.mcpb).
Is the LLM Provider MCP server safe to use?
LLM Provider MCP scores 55 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 LLM Provider MCP server expose?
LLM Provider MCP exposes 5 tools: cancel_coding_agent_job, delegate_coding_agent, get_coding_agent_job, list_coding_agent_models, list_coding_agents. Their descriptions and schemas cost roughly 384 tokens of context every time the server is loaded.
What licence is the LLM Provider MCP server under?
LLM Provider MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.