Arize Phoenix
Inspect traces, manage prompts, curate datasets, and run experiments using Arize Phoenix open-source AI and LLM observability.
Arize Phoenix is an officially maintained MCP server developed by Arize AI in the Development category. Inspect traces, manage prompts, curate datasets, and run experiments using Arize Phoenix open-source AI and LLM observability. Built with TypeScript and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install phoenix-mcp`. The project has 8,677 GitHub stars.
Features
Category
GitHub
Access GitHub repositories, issues, and pull requests.
Everything
Reference / test server with prompts, resources, and tools
Git
Tools to read, search, and manipulate Git repositories
GitLab
GitLab API, enabling project management
Sequential Thinking
Dynamic and reflective problem-solving through thought sequences
Sentry
Retrieving and analyzing issues from Sentry.io