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MCP Servers

mcp-eval is an evaluation framework for testing Model Context Protocol (MCP) servers and the agents that use them.

is a lightweight server that can run and manage multiple Model Context Protocol (MCP) servers, specifically designed to integrate with TypingMind.

An MCP (Model Context Protocol) server that runs inside the ReSharper/Rider backend process, exposing code intelligence features to AI assistants via HTTP.

A comprehensive Burp Suite Professional extension providing MCP server functionality for AI-powered security testing with AI Agents

Thanks to @BigUncle for the pull request

An MCP (Model Context Protocol) server that enables interaction with Google Play Console to deploy and manage Android applications.

A single-container appliance for trying out the Ignite UI AI toolchain with (an open-source AI coding agent).

MCP server that allows Claude Code to talk directly to FreeCAD to inspect and modify state

One AI agent is an assistant. Ten agents working together are a company. TeamMCP is the infrastructure that makes multi-agent collaboration work — real-time messaging, task management, org structure,...

Archy is an MCP (Model Context Protocol) server that generates architectural diagrams using Mermaid syntax.

A Model Context Protocol (MCP) server for Minimax AI integration, providing async image generation and text-to-speech with advanced rate limiting and error handling.

ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
Agent Skills

以面试官的角度为你讲解C++知识(针对面试高效学习)

🌍 30 AI-powered geoscience skills for Claude Code, Cursor & GitHub Copilot. Seismic, well logs, 3D modelling, inversion, geostatistics, spatial regression, NetCDF, and more.

Enables LLM to use a cli environment.

南鸢·人像角色设定师:把人物气质转成脸部结构、妆容与完整中文提示词

Agent Skills for Linkly AI — search, browse, and read your local documents from any AI coding agent.

Codex skill for e-commerce product visuals from product and reference images

Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents.

Command-line tool for distributed LLM inference benchmarks on SLURM clusters using TensorRT LLM, SGLang and vLLM.

Agent skills for working with DataHub — plan and review connectors, search the catalog, enrich metadata, trace lineage, manage data quality, and set up connections.

Run, deploy and monitor CLI agents in secure cloud sandboxes.

基于 GJB 438C-2021 [5.10] 标准模板的 SRS 文档自动生成

基于 LangGraph 和 DeepAgents 框架的智能体 Skills 能力演示项目。