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by Avento • APIs & Integration
A simple MCP-based chatbot for connecting to MCP servers, listing and running tools, and relaying responses from OpenAI-compatible LLM providers.
Connect to MCP servers and discover or invoke available tools programmatically.
Proxy or integrate with OpenAI-compatible LLM providers using configurable API keys and base URLs.
A simple local CLI chatbot to prototype tool orchestration, retries, and server connection management.
This repository provides a lightweight chatbot that uses the Model Context Protocol (MCP) to connect to MCP servers, enumerate available tools, and execute those tools with retry logic. It also integrates with OpenAI-compatible LLM providers via an API key and base URL configured in a .env file. The project is intended as a developer-focused example or prototype for orchestrating MCP tools and LLM calls from a local CLI. It requires Python 3.10+ and basic configuration of MCP servers and LLM credentials.
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