关键词 "easy setup" 的搜索结果, 共 24 条, 只显示前 480 条
🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.
Easy-MCP-Use is the open source TypeScript library to connect any LLM to any MCP server and build custom agents that have tool access, without using closed source or application clients.
A MCP server that lists all available MCP services for easy copying and usage
JavaScript MCP Server Component with WASM SDK for easy integration and deployment.
A quick and easy way to deploy MCP servers using Scala
A demo using MCP servers.
This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, ligh
This is a sample for showing how to do FIrebase Docs as an MCP server (including indexing documents)
Easy Manageable Way to create your own MCP Server
Enable developers to quickly build an MCP server service framework that supports stdio and sse。使开发者快速的搭建一个支持stdio与sse的mcp server服务框架
Sample MCP Server & Client setup, compatible with LangChain
Use MCP servers with OpenAI Agents
MCP easy installer is a robust mcp server with tools to search, install, configure, repair and uninstall MCP servers
Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
Embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configu
MCP Bridge is a lightweight, fast, and LLM-agnostic proxy for connecting to multiple Model Context Protocol (MCP) servers through a unified REST API. It enables secure tool execution across diverse en
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamles
Zendesk MCP Server
A prompt to help AI build MCP servers.
A zero-installation solution for AI agents to control remote macOS systems. Full desktop capabilities without extra software, using only built-in Screen Sharing. Works with Claude and any MCP client,
A reusable Dockerized Python server template implementing the Model Context Protocol (MCP) with Server-Sent Events (SSE), built using the FastMCP library for easy integration with Large Language Model
Example MCP Server tools for playing D&D with generative AIs. This project is for educational purposes so little attention is given to good code design.
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