Hmbown/CodeWhale
An open-source terminal coding agent written in Rust, with MCP support, multi-model routing and multi-agent orchestration.
mcp-chat is an open source command line and web chat client whose purpose is to exercise MCP servers and agents. It is distributed on npm and normally run through npx, so no installation step is needed. Pointing it at a server is a single flag: --server takes the command line that launches any MCP server written in JavaScript or Python or packaged as Docker, and the client then opens an interactive prompt in which the user converses with a model while the server tools are available. Alternatively --config reads an existing claude_desktop_config.json on macOS or Windows, reusing whatever servers are already configured there. The client requires an ANTHROPIC_API_KEY, either exported or in a .env file, because only Anthropic models are supported at present; the model is selected with -m. A single prompt can be sent non-interactively with -p, which runs the prompt, prints the response on stdout and exits, making the tool usable in scripts and continuous integration. The --system flag replaces the system prompt. A --web flag starts a browser interface where chats can be created and MCP servers configured dynamically through the UI rather than on the command line. Chat history and settings are saved under ~/.mcpchat/chats for both modes, and previously used commands are stored in ~/.mcpchat/history so they can be recalled. For server developers the notable feature is that tool call arguments and their output are displayed inline in the conversation, which turns the chat into a debugging surface; local builds of a Node or Python server can be passed directly by path or executed through node or bun. Environment variables are forwarded to the spawned server process, though the README notes this is not part of the MCP specification and other clients may not do it.
https://github.com/Flux159/mcp-chat
An open-source terminal coding agent written in Rust, with MCP support, multi-model routing and multi-agent orchestration.
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