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CircleCI MCP Server

Server Details

Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI tools and agents - no terminal required.

The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents directly to your CI/CD pipelines, giving you a conversational interface to the same pipeline, workflow, job, and artifact data you'd normally reach through the CircleCI CLI or dashboard.

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Status
Unhealthy
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
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TDQS

A4.2/5.0

Scored across 22 tools

Disambiguation5/5

Each tool targets a distinct resource or action. The get/list verbs apply to different resources (run, workflow, job, orb, deploy component/environment), and similar-looking tools like get_orb vs get_orb_source are clearly separated by metadata vs source. No two tools appear to do the same thing.

Naming Consistency4/5

Almost all tools follow the verb_noun pattern (get_*, list_*, cancel_workflow, rerun_workflow, validate_config, download_usage_data). The only exception is 'hello', which breaks the pattern but is a simple connectivity check. This minor deviation prevents a perfect score.

Tool Count4/5

22 tools is on the higher end of the typical range but each tool earns its place given the breadth of CircleCI features covered. The hierarchical read chain (runs → workflows → jobs → logs/tests/artifacts) justifies multiple list/get pairs, and deploy/orb management tools add distinct value. It feels slightly heavy but still reasonable.

Completeness4/5

The core CI workflow is well-covered: listing and retrieving runs, workflows, jobs, logs, tests, artifacts; cancelling/rerunning workflows; validating config; and orb inspection. A notable gap is the lack of a list_projects tool for discovering available projects, and there are no create/update operations, but for a read/debugging-oriented server this is acceptable.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updates
    • Removedhello
    • Addedme
  2. 6 tool updates
    • Addedget_deploy_component
    • Addedget_deploy_environment
    • Addedlist_deploy_component_versions
    • Addedlist_deploy_components
    • Addedlist_deploy_environments
    • Addedlist_deployments
  3. 1 tool update
    • Addedvalidate_config
  4. 15 tool updates
    • First observedcancel_workflow
    • First observeddownload_usage_data
    • First observedget_job
    • First observedget_job_logs
    • First observedget_orb
    • First observedget_orb_source
    • First observedget_run
    • First observedget_workflow
    • First observedhello
    • First observedlist_artifacts
    • First observedlist_job_tests
    • First observedlist_jobs
    • First observedlist_runs
    • First observedlist_workflows
    • First observedrerun_workflow

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