Arize-ai/phoenix
Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of large language model applications, supporting multiple frameworks and LLM providers with flexible deployment options.
Awesome MCP › Testing & Debugging
MCP Discovery is a utility for inspecting MCP servers rather than a server itself. Given a server's launch command or endpoint, it acts as a client, performs the handshake, and reports what the server actually publishes — its declared capabilities, the tools with their input schemas, and the resources and prompts it offers. Output can be printed to the terminal or written to files as Markdown, HTML, plain text or JSON, and a custom template can be supplied for any other format. A particularly practical feature is updating an existing file in place, which lets a project keep a generated capabilities table inside its own README and refresh it as the server changes, rather than maintaining documentation by hand that silently drifts from the implementation. Two other uses follow naturally: verifying that a server under development exposes what its author intended, and comparing servers before choosing one to install. It is written in Rust and distributed as a standalone binary, so it adds no runtime dependency to the machine it inspects from, and the project publishes its own documentation site with command examples. The audience is MCP server authors documenting their work, and anyone auditing what a third-party server would expose before adding it to a client.
https://github.com/rust-mcp-stack/mcp-discovery
Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of large language model applications, supporting multiple frameworks and LLM providers with flexible deployment options.
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