What dependencies does it require?
Python and `uv` (for environment management); a Groq API key is mandatory.
@YeshwanthSadum
基本信息
A free MCP client server that leverages GroqCloud's high-performance inference capabilities and connects to both local and remote MCP servers.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"groq-mcp-client": {
"command": "uv",
"args": [
"venv",
"#",
"Creates",
".venv",
"directory"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A CLI chat tool that connects to MCP (Model Context Protocol) servers—both local stdio and remote SSE—and uses Groq’s language models to interact with them. Intended for developers who want a natural‑language interface to MCP‑enabled data sources and tools.
Clone the repository, create a virtual environment (recommended with uv), install dependencies via uv pip install -e ., then add a .env file with your GROQ_API_KEY and CLIENT_MODEL. Configure the MCP servers in server_config.json (list local scripts under "stdio_servers" and remote SSE endpoints under "sse_servers"). Finally, run python src/main.py to start the interactive chat.
CLIENT_MODEL environment variable—
Python and `uv` (for environment management); a Groq API key is mandatory.
Edit `server_config.json`: list local script paths under `"stdio_servers"` and remote SSE URLs under `"sse_servers"`.
Explore active SSE servers at [ui.nanda-registry.com/explorer](https://ui.nanda-registry.com/explorer).
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