Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.
A simple, locally hosted Web Search MCP server for use with Local LLMs
The GPT-RAG MCP service deploys a Python MCP server built with FastMCP and Starlette. It is consumed by GPT-RAG through the orchestrator mcp strategy and is not tied to an AutoGen-specific runtime.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
EasyMCP is usable but in beta. Please report any issues you encounter.
MKP is a Model Context Protocol (MCP) server for Kubernetes
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.
The Dataverse Remote MCP Server has been released at Build. To help you get started, we have prepared labs for you to try out.
Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.
Autonomous multi-agent AI system with document processing, web automation, and code execution powered by LLM agents and MCP servers
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Model Context Protocol servers you can actually run yourself.
