What dependencies does it require?
Python and `uv` (for environment management); a Groq API key is mandatory.
@YeshwanthSadum
Basic information
A free MCP client server that leverages GroqCloud's high-performance inference capabilities and connects to both local and remote MCP servers.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"groq-mcp-client": {
"command": "uv",
"args": [
"venv",
"#",
"Creates",
".venv",
"directory"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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