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com.mcparmory/launchdarkly

PYPI · MCPARMORY-LAUNCHDARKLY · 2 COMPONENTS · SCANNED SEP 20

Manage feature flags, segments, projects, environments, and team members

+1 this week 76 Trust /100
Trust breakdown (7 categories)

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 Security87
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Install-script risk not yet assessed.Unverified
  • 2 of 41 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability73
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 36460 tokens (~133/item across 274 items; 274 tools + 0 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 Management87
  • Stability observed for 26 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
  • All 43 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 274 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the com.mcparmory/launchdarkly MCP server?

com.mcparmory/launchdarkly runs locally as a PyPI package, launched with uvx mcparmory-launchdarkly. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · mcparmory-launchdarkly

# add to Claude Code
claude mcp add com-mcparmory-launchdarkly -- uvx mcparmory-launchdarkly
// .cursor/mcp.json
{
  "mcpServers": {
    "com-mcparmory-launchdarkly": {
      "command": "uvx",
      "args": [
        "mcparmory-launchdarkly"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "com-mcparmory-launchdarkly": {
      "command": "uvx",
      "args": [
        "mcparmory-launchdarkly"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add com-mcparmory-launchdarkly -- uvx mcparmory-launchdarkly
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-mcparmory-launchdarkly": {
      "type": "local",
      "command": [
        "uvx",
        "mcparmory-launchdarkly"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add com-mcparmory-launchdarkly --command uvx --arg mcparmory-launchdarkly
# ~/.hermes/config.yaml
mcp_servers:
  com-mcparmory-launchdarkly:
    command: "uvx"
    args: ["mcparmory-launchdarkly"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "com-mcparmory-launchdarkly": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "mcparmory-launchdarkly"
      ]
    }
  }
}
# add to Vellum
assistant mcp add com-mcparmory-launchdarkly -t stdio -c uvx -a mcparmory-launchdarkly
// mcp.json
{
  "mcpServers": {
    "com-mcparmory-launchdarkly": {
      "command": "uvx",
      "args": [
        "mcparmory-launchdarkly"
      ]
    }
  }
}
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 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 −3
    • Stability: pass → 0.83 functional
  • 18 Sept 26 +1
    • Stability: 0.97 → pass security
  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +15
    • Malware scan: unverified → pass security
  • 14 Sept 26 −14
    • Malware scan: pass → unverified security
  • 12 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 11 Sept 26 +1
    • Stability: 0.97 → pass security
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 20 Sept 2026 · Analysed pypi/mcparmory-launchdarkly@1.0.4

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Dependencies 41 packages
Packages resolved 41
Stale 1
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 274 exposed · ~36,460 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
delete_application_version ~66

Permanently delete a specific version of an application. This operation removes the version and all associated data.

NameTypeReqDescription
applicationKeystringyesThe unique identifier for the application containing the version to delete.
versionKeystringyesThe unique identifier for the specific application version to delete.

No output schema declared.

No examples provided.

delete_approval_request ~42

Permanently delete an approval request by its ID. This action cannot be undone.

NameTypeReqDescription
idstringyesThe unique identifier of the approval request to delete.

No output schema declared.

No examples provided.

delete_approval_request_for_flag ~116

Delete a pending approval request for a feature flag in a specific environment. This removes the approval workflow, preventing further review or approval actions on the request.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment where the approval request applies.
featureFlagKeystringyesThe unique identifier for the feature flag associated with the approval request.
idstringyesThe unique identifier of the approval request to delete.
projectKeystringyesThe unique identifier for the project containing the feature flag.

No output schema declared.

No examples provided.

delete_audit_log_subscription ~73

Remove an audit log subscription from an integration. This permanently deletes the subscription and stops audit log collection for the specified integration.

NameTypeReqDescription
idstringyesThe unique identifier of the audit log subscription to delete.
integrationKeystringyesThe unique identifier for the integration from which the subscription will be deleted.

No output schema declared.

No examples provided.

delete_branches ~79

Asynchronously delete multiple branches from a repository. Returns a task that processes the branch deletions in the background.

NameTypeReqDescription
bodyarrayyesAn array of branch names to delete. Each item should be a string representing a branch name. Order is not significant.
repostringyesThe name of the repository from which branches will be deleted.

No output schema declared.

No examples provided.

delete_context_instance ~93

Delete a specific context instance by its ID within a project environment. This operation permanently removes the context instance and cannot be undone.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment within the project where the context instance is located.
idstringyesThe unique identifier of the context instance to delete.
projectKeystringyesThe unique identifier for the project containing the context instance to delete.

No output schema declared.

No examples provided.

delete_custom_role ~65

Permanently delete a custom role by its unique key. This action removes the role and any associated permissions from the system.

NameTypeReqDescription
customRoleKeystringyesThe unique identifier for the custom role to delete. This is a string value that uniquely identifies the role within the system.

No output schema declared.

No examples provided.

delete_destination ~85

Permanently delete a Data Export destination from a specific project and environment. This action cannot be undone.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment within the project where the destination exists.
idstringyesThe unique identifier of the Data Export destination to delete.
projectKeystringyesThe unique identifier for the project containing the destination to delete.

No output schema declared.

No examples provided.

delete_environment ~61

Permanently delete an environment from a project by its key. This action cannot be undone.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment to delete.
projectKeystringyesThe unique identifier for the project containing the environment to delete.

No output schema declared.

No examples provided.

delete_feature_flag ~92

Permanently delete a feature flag across all environments. This operation cannot be undone, so only use it for flags your application no longer references in code.

NameTypeReqDescription
featureFlagKeystringyesThe unique key that identifies the feature flag in your codebase. This is the identifier you reference when evaluating the flag in your application.
projectKeystringyesThe unique identifier for the project containing the feature flag.

No output schema declared.

No examples provided.

delete_insight_group ~65

Permanently delete an insight group by its unique key. This operation removes the insight group and all associated data.

NameTypeReqDescription
insightGroupKeystringyesThe unique identifier for the insight group to delete. This is a string value that uniquely identifies the insight group within the system.

No output schema declared.

No examples provided.

delete_member ~45

Remove an account member by their ID. This operation will fail if SCIM provisioning is enabled for the account.

NameTypeReqDescription
idstringyesThe unique identifier of the member to delete

No output schema declared.

No examples provided.

delete_metric ~65

Permanently delete a metric from a project by its key. This operation removes the metric and all associated data.

NameTypeReqDescription
metricKeystringyesThe unique identifier for the metric to delete.
projectKeystringyesThe unique identifier for the project containing the metric to delete.

No output schema declared.

No examples provided.

delete_metric_group ~66

Permanently delete a metric group from a project by its key. This action cannot be undone.

NameTypeReqDescription
metricGroupKeystringyesThe unique identifier for the metric group to delete.
projectKeystringyesThe unique identifier for the project containing the metric group to delete.

No output schema declared.

No examples provided.

delete_model_config ~84

Permanently delete an AI model configuration from a project. This operation removes the specified model config and cannot be undone.

NameTypeReqDescription
modelConfigKeystringyesThe unique identifier of the AI model configuration to delete.
projectKeystringyesThe unique identifier of the project containing the model config. Use 'default' for the default project or specify a custom project key.

No output schema declared.

No examples provided.

delete_oauth_client ~62

Permanently delete an OAuth 2.0 client application by its unique identifier. This action cannot be undone and will invalidate all tokens issued to this client.

NameTypeReqDescription
clientIdstringyesThe unique identifier of the OAuth 2.0 client to delete.

No output schema declared.

No examples provided.

delete_project ~71

Permanently delete a project and all its associated environments and feature flags. This operation cannot be undone and will fail if the project is the last one in the account.

NameTypeReqDescription
projectKeystringyesThe unique identifier for the project to delete. This is a string value that uniquely identifies the project within your account.

No output schema declared.

No examples provided.

delete_prompt_snippet ~71

Delete an existing prompt snippet from a project's AI configuration. This operation permanently removes the specified prompt snippet and cannot be undone.

NameTypeReqDescription
projectKeystringyesThe unique identifier of the project containing the prompt snippet to delete.
snippetKeystringyesThe unique identifier of the prompt snippet to delete.

No output schema declared.

No examples provided.

delete_relay_auto_config ~67

Delete a Relay Proxy auto-configuration by its unique identifier. This operation permanently removes the specified relay auto config from your account.

NameTypeReqDescription
idstringyesThe unique identifier of the relay auto config to delete. This is a string value that uniquely identifies the configuration within your account.

No output schema declared.

No examples provided.

delete_release_for_flag ~95

Removes a release associated with a feature flag. This operation permanently deletes the release record from the specified flag within a project.

NameTypeReqDescription
flagKeystringyesThe unique identifier for the feature flag from which the release will be deleted. Must correspond to an existing flag within the specified project.
projectKeystringyesThe unique identifier for the project containing the flag. Used to scope the operation to the correct project context.

No output schema declared.

No examples provided.

delete_release_pipeline ~79

Deletes a release pipeline from a project. Note that the default release pipeline cannot be deleted; if you need to remove it, first create and set a different pipeline as default.

NameTypeReqDescription
pipelineKeystringyesThe unique identifier for the release pipeline to delete.
projectKeystringyesThe unique identifier for the project containing the release pipeline.

No output schema declared.

No examples provided.

delete_release_policy ~106

Permanently delete a release policy from a project. This action cannot be undone and will remove all associated policy configurations.

NameTypeReqDescription
LD-API-VersionstringyesThe API version to use for this operation. Must be set to 'beta'.
policyKeystringyesThe human-readable identifier for the release policy to delete (e.g., 'production-release').
projectKeystringyesThe unique identifier for the project containing the release policy (e.g., 'default').

No output schema declared.

No examples provided.

delete_repository ~46

Permanently delete a repository and all associated code references. This action cannot be undone.

NameTypeReqDescription
repostringyesThe name of the repository to delete. Must be a valid string identifier.

No output schema declared.

No examples provided.

delete_scheduled_flag_changes ~127

Delete a scheduled changes workflow for a feature flag in a specific environment. This removes the pending scheduled changes and cancels any automation associated with the workflow.

NameTypeReqDescription
environmentKeystringyesThe environment key specifying which environment's scheduled changes workflow should be removed.
featureFlagKeystringyesThe feature flag key identifying which flag's scheduled changes should be deleted.
idstringyesThe unique identifier of the scheduled changes workflow to delete.
projectKeystringyesThe project key that contains the feature flag. Used to scope the operation to a specific project.

No output schema declared.

No examples provided.

delete_segment ~82

Permanently delete a segment from a specific project and environment. This action cannot be undone.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment within the project where the segment exists.
projectKeystringyesThe unique identifier for the project containing the segment to delete.
segmentKeystringyesThe unique identifier for the segment to delete.

No output schema declared.

No examples provided.

delete_team ~67

Permanently delete a team by its key. This action cannot be undone and will remove the team from your LaunchDarkly account.

NameTypeReqDescription
teamKeystringyesThe unique identifier for the team to delete. This is a string value that uniquely identifies the team within your LaunchDarkly organization.

No output schema declared.

No examples provided.

delete_token ~63

Permanently delete an access token by its ID. This operation removes the token immediately, invalidating any authentication attempts using it.

NameTypeReqDescription
idstringyesThe unique identifier of the access token to delete. This is a string value that uniquely identifies the token in the system.

No output schema declared.

No examples provided.

delete_trigger_for_flag ~109

Delete a specific flag trigger by its ID. This removes the trigger configuration that automates flag state changes based on defined conditions.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment where the flag trigger is configured.
featureFlagKeystringyesThe unique identifier for the feature flag associated with this trigger.
idstringyesThe unique identifier of the flag trigger to delete.
projectKeystringyesThe unique identifier for the project containing the feature flag.

No output schema declared.

No examples provided.

delete_view ~131

Permanently delete a specific view from a project by its key. This operation removes the view and cannot be undone.

NameTypeReqDescription
LD-API-VersionstringyesThe API version to use for this request. Must be set to 'beta' for this endpoint.
projectKeystringyesThe unique identifier of the project containing the view. Use the project key (e.g., 'default') to specify which project to access.
viewKeystringyesThe unique identifier of the view to delete. Specify the view key (e.g., 'my-view') to target the exact view for deletion.

No output schema declared.

No examples provided.

delete_view_resource_links ~171

Remove one or multiple linked resources (feature flags or segments) from a view. Specify the resource type and provide the identifiers to unlink.

NameTypeReqDescription
LD-API-VersionstringyesAPI version identifier. Must be set to 'beta' for this endpoint.
bodyyesRequest body containing the resource identifiers to unlink. For flags, provide flag keys; for segments, provide segment IDs.
projectKeystringyesThe project key that contains the view. Use the project identifier (e.g., 'default').
resourceTypestringyesThe type of resource to unlink: either 'flags' for feature flags or 'segments' for audience segments.
viewKeystringyesThe view key from which to unlink resources. Use the view identifier (e.g., 'my-view').

No output schema declared.

No examples provided.

delete_webhook ~68

Permanently delete a webhook by its ID. This action cannot be undone and will stop all event notifications from being sent to the webhook's configured endpoint.

NameTypeReqDescription
idstringyesThe unique identifier of the webhook to delete. This is a string value that uniquely identifies the webhook in the system.

No output schema declared.

No examples provided.

delete_workflow ~106

Remove a workflow from a feature flag in a specific environment. This permanently deletes the workflow and its associated configuration.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment where the workflow is configured.
featureFlagKeystringyesThe unique identifier for the feature flag that contains the workflow to delete.
projectKeystringyesThe unique identifier for the project containing the feature flag.
workflowIdstringyesThe unique identifier for the workflow to delete.

No output schema declared.

No examples provided.

evaluate_context_instance_segment_memberships ~169

Evaluate which segments a context instance belongs to based on its attributes. Provide a context instance with its key, kind, and custom attributes to retrieve membership status across all segments in the environment.

NameTypeReqDescription
bodyobjectyesThe context instance to evaluate. Must include a unique key identifier, a kind (e.g., 'user', 'organization'), and any custom attributes relevant to segment rules (e.g., name, jobFunction, address).…
environmentKeystringyesThe environment key that identifies the specific environment within the project. This determines which segment definitions and rules are evaluated.
projectKeystringyesThe project key that identifies the LaunchDarkly project. This is a string identifier used to scope the operation within your workspace.

No output schema declared.

No examples provided.

generate_warehouse_destination_key_pair ~82

Generate a public-private key pair for authenticating Data Export operations to a Snowflake warehouse destination. This enables secure credential-based access without storing passwords.

NameTypeReqDescription
envKeystringyesThe unique identifier for the environment within the project where the warehouse destination is configured.
projKeystringyesThe unique identifier for the project containing the destination configuration.

No output schema declared.

No examples provided.

get_agent_graph ~87

Retrieve a specific agent graph by its key, including all its edges and configuration details.

NameTypeReqDescription
LD-API-VersionstringyesThe API version to use for this request. Currently only the beta version is supported.
graphKeystringyesThe unique identifier for the agent graph to retrieve.
projectKeystringyesThe unique identifier for the project containing the agent graph.

No output schema declared.

No examples provided.

get_agent_optimization ~73

Retrieve a specific agent optimization configuration by its unique key within a project. Use this to inspect the details and settings of an existing optimization.

NameTypeReqDescription
optimizationKeystringyesThe unique identifier for the specific agent optimization to retrieve.
projectKeystringyesThe unique identifier for the project containing the agent optimization.

No output schema declared.

No examples provided.

get_ai_config ~74

Retrieve a specific AI configuration by its project and configuration keys. Use this to fetch detailed settings and properties for a particular AI config within a project.

NameTypeReqDescription
configKeystringyesThe unique identifier for the specific AI configuration to retrieve.
projectKeystringyesThe unique identifier for the project containing the AI configuration.

No output schema declared.

No examples provided.

get_ai_config_metrics ~179

Retrieve usage and performance metrics for a specific AI Config within a defined time range and environment. Metrics are aggregated for the specified period to help monitor AI Config performance and usage patterns.

NameTypeReqDescription
configKeystringyesThe unique identifier for the AI Config whose metrics should be retrieved.
envstringyesThe environment key to filter metrics by. Only metrics collected in this specific environment will be included in the results.
fromintegeryesThe start of the metrics time range as milliseconds since epoch (inclusive). Use this to define the beginning of your analysis period.
projectKeystringyesThe unique identifier for the project containing the AI Config.
tointegeryesThe end of the metrics time range as milliseconds since epoch (exclusive). The time range between `from` and `to` cannot exceed 100 days.

No output schema declared.

No examples provided.

get_ai_config_metrics_by_variation ~159

Retrieve usage and performance metrics for an AI Config segmented by variation. Results are filtered to a specific time range and environment.

NameTypeReqDescription
configKeystringyesThe unique identifier for the AI Config whose metrics you want to retrieve.
envstringyesThe environment key to filter metrics. Only metrics from this specific environment will be included in the results.
fromintegeryesThe start of the time range for metrics, specified as milliseconds since epoch (inclusive).
projectKeystringyesThe unique identifier for the project containing the AI Config.
tointegeryesThe end of the time range for metrics, specified as milliseconds since epoch (exclusive). The time range cannot span more than 100 days.

No output schema declared.

No examples provided.

get_ai_config_quick_stats ~99

Retrieve aggregate quick statistics for AI Configs within a specific project and environment. Returns metrics summarizing AI Config usage and performance for the specified environment.

NameTypeReqDescription
envstringyesThe environment key that filters which metrics are included in the results. Only statistics from this specific environment will be returned.
projectKeystringyesThe unique identifier for the project containing the AI Configs. This key determines which project's statistics will be retrieved.

No output schema declared.

No examples provided.

get_ai_config_targeting ~78

Retrieve the targeting configuration for a specific AI Config. Returns the targeting rules and criteria that determine which users or contexts this AI Config applies to.

NameTypeReqDescription
configKeystringyesThe unique identifier for the AI Config whose targeting configuration should be retrieved.
projectKeystringyesThe unique identifier for the project containing the AI Config.

No output schema declared.

No examples provided.

get_ai_config_variation ~111

Retrieve a specific AI Config variation by its key, including all versions associated with that variation.

NameTypeReqDescription
configKeystringyesThe unique identifier for the AI Config within the project. Use 'default' for the default configuration.
projectKeystringyesThe unique identifier for the project containing the AI Config. Use 'default' for the default project.
variationKeystringyesThe unique identifier for the specific variation within the AI Config. Use 'default' for the default variation.

No output schema declared.

No examples provided.

get_ai_tool ~72

Retrieve a specific AI tool by its project and tool identifiers. Use this operation to fetch detailed information about a configured AI tool within a project.

NameTypeReqDescription
projectKeystringyesThe unique identifier for the project containing the AI tool.
toolKeystringyesThe unique identifier for the AI tool to retrieve.

No output schema declared.

No examples provided.

get_application ~65

Retrieve a LaunchDarkly application by its unique application key. Optionally expand the response to include evaluated flags and other application details.

NameTypeReqDescription
applicationKeystringyesThe unique identifier for the application. This is a string value that uniquely identifies the application within your LaunchDarkly workspace.

No output schema declared.

No examples provided.

get_approval_request ~56

Retrieve a specific approval request by its ID. Optionally expand the response to include related resources such as environments, flags, projects, or resource details.

NameTypeReqDescription
idstringyesThe unique identifier of the approval request to retrieve.

No output schema declared.

No examples provided.

get_approval_request_for_flag ~117

Retrieve a specific approval request for a feature flag in a given environment. Use this to check the status and details of a pending or completed approval workflow.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment where the approval request applies.
featureFlagKeystringyesThe unique identifier for the feature flag associated with this approval request.
idstringyesThe unique identifier for the specific approval request to retrieve.
projectKeystringyesThe unique identifier for the project containing the feature flag.

No output schema declared.

No examples provided.

get_audit_log_entry ~64

Retrieve a detailed audit log entry with full change history. Returns comprehensive metadata including the previous and current versions of the modified entity, plus the JSON patch or semantic patch that was applied.

NameTypeReqDescription
idstringyesThe unique identifier of the audit log entry to retrieve.

No output schema declared.

No examples provided.

get_audit_log_subscription ~78

Retrieve a specific audit log subscription by its ID within a given integration. Use this to fetch details about an existing subscription configuration.

NameTypeReqDescription
idstringyesThe unique identifier of the audit log subscription to retrieve.
integrationKeystringyesThe unique identifier for the integration. This key determines which integration context the subscription belongs to.

No output schema declared.

No examples provided.

get_big_segment_export ~115

Retrieve the status and details of a big segment export process for a synced or list-based segment containing more than 15,000 entries.

NameTypeReqDescription
environmentKeystringyesThe unique identifier for the environment within the project where the segment is defined.
exportIDstringyesThe unique identifier for the specific export process to retrieve information about.
projectKeystringyesThe unique identifier for the LaunchDarkly project containing the segment.
segmentKeystringyesThe unique identifier for the segment being exported.

No output schema declared.

No examples provided.

get_big_segment_import ~124

Retrieve detailed information about an in-progress or completed big segment import process. Big segments support list-based imports with more than 15,000 entries.

NameTypeReqDescription
environmentKeystringyesThe environment key that identifies which environment contains the segment being imported.
importIDstringyesThe import ID that uniquely identifies the specific import process to retrieve status and details for.
projectKeystringyesThe project key that identifies which project contains the segment being imported.
segmentKeystringyesThe segment key that identifies the specific big segment associated with this import.

No output schema declared.

No examples provided.

Common questions

What is the com.mcparmory/launchdarkly MCP server?

com.mcparmory/launchdarkly is an MCP server listed in the public MCP registry as com.mcparmory/launchdarkly. Manage feature flags, segments, projects, environments, and team members. This page covers its PyPI package (mcparmory-launchdarkly).

Is the com.mcparmory/launchdarkly MCP server safe to use?

com.mcparmory/launchdarkly scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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 com.mcparmory/launchdarkly MCP server expose?

com.mcparmory/launchdarkly exposes 274 tools: list_relay_proxy_configs, create_relay_proxy_config, get_relay_proxy_config, update_relay_auto_config, delete_relay_auto_config, and 269 more. Their descriptions and schemas cost roughly 36,460 tokens of context every time the server is loaded.

Is the com.mcparmory/launchdarkly MCP server still maintained?

com.mcparmory/launchdarkly is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.