PluginBench
MCP Server
Maintained

com.mcparmory/circleci MCP Server

com.mcparmory/circleci

Manage CircleCI pipelines, workflows, and job metrics through AI agents

What is the com.mcparmory/circleci MCP server?

The CircleCI MCP server connects AI agents to CircleCI's CI/CD platform, exposing tools to manage pipelines, workflows, and job metrics across projects. It is generated from CircleCI's OpenAPI specification and tested against the live API.

This server enables AI agents to interact with CircleCI programmatically, allowing you to monitor pipeline status, manage workflows, retrieve job metrics, and automate CI/CD operations across your projects without leaving your AI interface.

How to install com.mcparmory/circleci

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "circleci": {
      "command": "uvx",
      "args": [
        "mcparmory-circleci"
      ]
    }
  }
}

Use cases

  • Monitor CI/CD pipeline status and job execution in real-time
  • Retrieve and analyze job metrics and performance data
  • Manage and trigger workflows across multiple projects
  • Automate incident response based on pipeline failures
  • Query build history and deployment logs for debugging

com.mcparmory/circleci MCP server FAQ

What is the CircleCI MCP server?

It's an MCP server that exposes CircleCI's API as tools for AI agents, allowing you to manage pipelines, workflows, and retrieve job metrics programmatically.

Is it free to use?

The server itself is free (MIT License), but you need a CircleCI account and API token. CircleCI's pricing depends on your plan.

How do I install it in Cursor or Claude?

Install via `pip install mcparmory-circleci` or use `uvx mcparmory-circleci`, then configure it in your MCP client settings with your CircleCI API token.

What authentication is required?

You need a CircleCI API token, which you configure as an environment variable or in your MCP client configuration.

What tools does it expose?

The server exposes all CircleCI API endpoints as MCP tools for managing pipelines, workflows, and retrieving job metrics, generated from CircleCI's OpenAPI specification.

Can I use it with multiple CircleCI organizations?

Yes, you can configure multiple instances of the server with different API tokens for different CircleCI organizations.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://wjxawmrpsfuivlicnepc.supabase.co/storage/v1/object/public/newsletter/logo-armory-no-background.png" alt="MCP Armory" height="64"> </p> <h1 align="center">MCP Armory Registry</h1> <p align="center"> Production-ready MCP servers for popular APIs, generated by <a href="https://mcpblacksmith.com">MCP Blacksmith</a>. </p> <p align="center"> <a href="https://github.com/mcparmory/registry/stargazers"><img src="https://img.shields.io/github/stars/mcparmory/registry?style=flat&color=gold" alt="GitHub Stars"></a> <a href="https://github.com/mcparmory/registry/blob/main/servers/github/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> <img src="https://img.shields.io/badge/servers-79-8A2BE2" alt="Servers"> <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+"> </p> <p align="center"> <a href="#servers">Servers</a> &middot; <a href="#install--usage">Install & Usage</a> &middot; <a href="#features">Features</a> &middot; <a href="#how-servers-are-generated">How it works</a> &middot; <a href="#license">License</a> </p>

MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

<!-- SERVERS:BEGIN -->

Servers

🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 Analytics   Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & Crypto   Alchemy NFT

💼 CRM & Sales   Apollo

💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & Databases   Enigma · Pinecone

🛠️ Developer Tools   AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & Printing   PDF.co

🛒 E-commerce   Shopify Admin

💰 Finance   Alpha Vantage · Polygon · Ramp

👥 HR & Recruiting   BambooHR

☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & Compliance   NetLicensing

🗺️ Maps & Location   Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 Marketing   Customer.io Journeys Track · Klaviyo

🎬 Media & Entertainment   Canva · Perigon

✅ Productivity   Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 Search   Algolia Search · Google Search

📦 Storage   Box · Files.com · Google Drive

📌 Other   Close

More servers are being added continuously.

<!-- SERVERS:END -->

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> &middot; <a href="https://mcpblacksmith.com">MCP Blacksmith</a> &middot; <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>

Related MCP servers

Connect Claude and Cursor to ClickUp for task and project management via MCP

30
Python
View repository →

Analyze code quality, security issues, and coverage across repositories with AI agents

30
Python
View repository →

Create, update, and publish content across Contentful spaces and environments via MCP.

30
Python
View repository →

Convert files across 500+ formats: documents, PDFs, images, and more via the ConvertAPI service.

30
Python
View repository →

Connect AI agents to Customer.io to track customer data, manage segments, and trigger personalized campaigns

30
Python
View repository →

Monitor infrastructure, manage agents, and track metrics, logs, and events with Datadog via MCP.

30
Python
View repository →