Simple MCP Client to quickly test and explore MCP servers from the command line
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-chat","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Simple MCP Client to Explore MCP Servers [](https://github.com/hideya/langchain-mcp-tools-py/blob/main/LICENSE) [](https://pypi.org/project/mcp-chat/) **Quickly test and explore MCP servers from the command line!** ## Project Status This utility is based on [`langchain-mcp-tools`](https://pypi.org/project/langchain-mcp-tools/), which currently supports **MCP Protocol version 2025-03-26**. It does **not** support the MCP **2026-07-28** specification. ## Introduction A simple, text-based CLI client for [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) servers built with LangChain and Python. Suitable for testing MCP servers, exploring their capabilities, and prototyping integrations. Internally it uses [LangChain Agent](https://docs.langchain.com/oss/python/langchain/agents) and a utility function `convert_mcp_to_langchain_tools()` from [`langchain_mcp_tools`](https://pypi.org/project/langchain-mcp-tools/). A TypeScript equivalent of this utility is available [here](https://www.npmjs.com/package/@h1deya/mcp-client-cli) ## Prerequisites - Python 3.11+ - [optional] [`uv` (`uvx`)](https://docs.astral.sh/uv/getting-started/installation/) installed to run Python package-based local MCP servers - [optional] [npm 7+ (`npx`)](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) to run Node.js package-based local MCP servers - LLM API key(s) from [OpenAI](https://platform.openai.com/api-keys), [Anthropic](https://console.anthropic.com/settings/keys), [Google AI Studio (for GenAI/Gemini)](https://aistudio.google.com/apikey), [xAI](https://console.x.ai/), [Cerebras](https://cloud.cerebras.ai), and/or [Groq](https://console.groq.com/keys), as needed ## Quick Start - Install `mcp-chat` tool. This can take up to a few minutes to complete: ```bash pip install mcp-chat ``` - Configure …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.