mcp-use is the easiest way to interact with mcp servers with custom agents
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Updated
Jul 4, 2025 - Python
mcp-use is the easiest way to interact with mcp servers with custom agents
MCP Client which serves as bridge between mcp servers and local LLMs running on Ollama, Created for MCP Servers Developed by Me, However other MCP Servers may run as well
Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
Zerodha MCP Server & Client - AI Agent (w/Agno & w/Google ADK)
MCP Chatbot powered by Anthropic Claude. Delivering on‐demand literature search and summarisation for academics and engineers
A powerful command-line chatbot built in TypeScript that brings AI conversations directly to your terminal. Features multi-provider LLM support (OpenAI, Anthropic, Google), real-time streaming responses, persistent chat history, and comprehensive MCP (Model Context Protocol) client functionality for seamless tool integration.
🚀 专为MCP用户设计的掘金内容智能分析工具 - 提供34个专业工具,支持内容获取、智能推荐、趋势分析和用户交互
A Spring Boot application for interacting with MCP servers using Spring AI Chat Client and Rest Controller
Ollama MCP Bridge connects multiple Model Context Protocol servers with Ollama, allowing seamless access to various AI tools. This API service features a modular design and a FastAPI backend for efficient interactions. 🐙🌉
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