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CircleCI MCP Server

by CircleCI-Public

The CircleCI MCP Server allows you to interact with CircleCI using natural language via a Model Context Protocol (MCP) client. It enables you to accomplish tasks like retrieving logs and identifying flaky tests using natural language commands.

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CircleCI MCP Server

CircleCI

CircleCI

npm

npm

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an MCP Server for CircleCI.

This lets you use Cursor IDE, or any MCP Client, to use natural language to accomplish things with CircleCI, e.g.:

  • Find the latest failed pipeline on my branch and get logs https://github.com/CircleCI-Public/mcp-server-circleci/wiki#circleci-mcp-server-with-cursor-ide

https://github.com/user-attachments/assets/3c765985-8827-442a-a8dc-5069e01edb74

Requirements

  • pnpm package manager - Learn more
  • Node.js >= v18.0.0
  • CircleCI API token - you can generate one through the CircleCI. Learn more or click here for quick access.

Installation

Cursor

Add the following to your cursor MCP config:

{
  "mcpServers": {
    "circleci-mcp-server": {
      "command": "npx",
      "args": ["-y", "@circleci/mcp-server-circleci"],
      "env": {
        "CIRCLECI_TOKEN": "your-circleci-token",
        "CIRCLECI_BASE_URL": "https://circleci.com" // Optional - required for on-prem customers only
      }
    }
  }
}

See the guide below for more information on using MCP servers with cursor: https://docs.cursor.com/context/model-context-protocol#configuring-mcp-servers

Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "circleci-mcp-server": {
      "command": "npx",
      "args": ["-y", "@circleci/mcp-server-circleci"],
      "env": {
        "CIRCLECI_TOKEN": "your-circleci-token",
        "CIRCLECI_BASE_URL": "https://circleci.com" // Optional - required for on-prem customers only
      }
    }
  }
}

To find/create this file, first open your claude desktop settings. Then click on "Developer" in the left-hand bar of the Settings pane, and then click on "Edit Config"

This will create a configuration file at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

VS Code

Add the MCP server to your settings.json under mcp -> servers:

"circleci-mcp-server": {
  "command": "npx",
  "args": ["-y", "@circleci/mcp-server-circleci"],
  "env": {
    "CIRCLECI_TOKEN": "your-circleci-token",
    "CIRCLECI_BASE_URL": "https://circleci.com" // Optional - required for on-prem customers only
  }
}

See the guide below for more information on using MCP servers with VS Code: https://code.visualstudio.com/docs/copilot/chat/mcp-servers

Windsurf

Add the following to your windsurf mcp_config.json:

{
  "mcpServers": {
    "circleci-mcp-server": {
      "command": "npx",
      "args": ["-y", "@circleci/mcp-server-circleci"],
      "env": {
        "CIRCLECI_TOKEN": "your-circleci-token",
        "CIRCLECI_BASE_URL": "https://circleci.com" // Optional - required for on-prem customers only
      }
    }
  }
}

See the guide below for more information on using MCP servers with windsurf: https://docs.windsurf.com/windsurf/mcp

Features

Supported Tools

  • get_build_failure_logs

    Retrieves detailed failure logs from CircleCI builds. This tool can be used in two ways:

    1. Using CircleCI URLs:

      • Provide a failed job URL or pipeline URL directly
      • Example: "Get logs from https://app.circleci.com/pipelines/github/org/repo/123"
    2. Using Local Project Context:

      • Works from your local workspace by providing:
        • Workspace root path
        • Git remote URL
        • Branch name
      • Example: "Find the latest failed pipeline on my current branch"

    The tool returns formatted logs including:

    • Job names
    • Step-by-step execution details
    • Failure messages and context

    This is particularly useful for:

    • Debugging failed builds
    • Analyzing test failures
    • Investigating deployment issues
    • Quick access to build logs without leaving your IDE
  • find_flaky_tests

    Identifies flaky tests in your CircleCI project by analyzing test execution history. This leverages the flaky test detection feature described here: https://circleci.com/blog/introducing-test-insights-with-flaky-test-detection/#flaky-test-detection

    This tool can be used in two ways:

    1. Using CircleCI Project URL:

      • Provide the project URL directly from CircleCI
      • Example: "Find flaky tests in https://app.circleci.com/pipelines/github/org/repo"
    2. Using Local Project Context:

      • Works from your local workspace by providing:
        • Workspace root path
        • Git remote URL
      • Example: "Find flaky tests in my current project"

    The tool returns detailed information about flaky tests, including:

    • Test names and file locations
    • Failure messages and contexts

    This helps you:

    • Identify unreliable tests in your test suite
    • Get detailed context about test failures
    • Make data-driven decisions about test improvements

Development

Getting Started

  1. Clone the repository:

    git clone https://github.com/CircleCI-Public/mcp-server-circleci.git
    cd mcp-server-circleci
    
  2. Install dependencies:

    pnpm install
    
  3. Build the project:

    pnpm build
    

Development with MCP Inspector

The easiest way to iterate on the MCP Server is using the MCP inspector. You can learn more about the MCP inspector at https://modelcontextprotocol.io/docs/tools/inspector

  1. Start the development server:

    pnpm watch # Keep this running in one terminal
    
  2. In a separate terminal, launch the inspector:

    pnpm inspector
    
  3. Configure the environment:

    • Add your CIRCLECI_TOKEN to the Environment Variables section in the inspector UI
    • The token needs read access to your CircleCI projects
    • Optionally you can set your CircleCI Base URL. Defaults to https//circleci.com

Testing

  • Run the test suite:

    pnpm test
    
  • Run tests in watch mode during development:

    pnpm test:watch
    

For more detailed contribution guidelines, see CONTRIBUTING.md