CircleCI
0
Enable large language models (LLMs) to interact with CircleCI for managing continuous integration and delivery tasks.
About
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
- Natural language interaction with CircleCI through LLMs
- Retrieve detailed build failure logs with `get_build_failure_logs` tool
- Support for local (NPX, Docker) and self-managed remote server installations
- 0 GitHub stars
- Integration with popular MCP-supported clients (Cursor, VS Code, Claude, Windsurf, Amazon Q Developer)
Use Cases
- Query CircleCI for pipeline status and logs using natural language commands
- Automate retrieval of CI/CD build information for debugging directly from an IDE
- Integrate CircleCI operations into AI-assisted development workflows
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