Enable large language models (LLMs) to interact with CircleCI for managing continuous integration and delivery tasks.
Sponsored
This tool provides an MCP Server for CircleCI, allowing large language models (LLMs) to manage context and interact with CircleCI using natural language queries. Built on the Model Context Protocol (MCP), it integrates seamlessly with various MCP-supported clients such as Cursor IDE, Windsurf, Copilot, VS Code, Claude Desktop, Claude Code, and Amazon Q Developer. Users can leverage natural language commands to perform actions like finding the latest failed pipelines, retrieving build logs, and querying project status within their development environments.
Key Features
01Natural language interaction with CircleCI through LLMs
02Retrieve detailed build failure logs with `get_build_failure_logs` tool
03Support for local (NPX, Docker) and self-managed remote server installations
040 GitHub stars
05Integration with popular MCP-supported clients (Cursor, VS Code, Claude, Windsurf, Amazon Q Developer)
Use Cases
01Query CircleCI for pipeline status and logs using natural language commands
02Automate retrieval of CI/CD build information for debugging directly from an IDE
03Integrate CircleCI operations into AI-assisted development workflows
