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MCP Servers

🗓️ A CalDAV Model Context Protocol (MCP) server to expose calendar operations as tools for AI assistants.

A server that helps people access and query data in databases using the Legion Query Runner with integration of the Model Context Protocol (MCP) Python SDK.

Provides an API layer in front of the Ollama API, seamlessly adding tools from multiple MCP servers so every Ollama request can access all connected tools transparently.

This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.

Server implementation of the Model Context Protocol (MCP). Currently allows tools to be exposed to LLMs supporting the protocol.

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A Go implementation of the Model Context Protocol (MCP) with comprehensive streaming HTTP support. This library enables efficient communication between client applications and tools/resources.

A persistent, multi-agent server. Continuum gives AI coding agents — Claude Code, OpenCode, Codex, Gemini CLI — a shared, live view of a codebase and a memory that survives across agents and sessions.

An MCP (Model Context Protocol) server for interacting with LSP (Language Server Protocol) interface. This server acts as a bridge that allows LLMs to query LSP Hover and Completion providers.

An MCP server that provides ripgrep (rg) search capabilities to any MCP client such as Claude.

MCP Client 是一个基于 Model Context Protocol 的 Node.js 客户端实现(使用 Function Calling),它允许您的应用连接到各种 MCP 服务器,并通过大语言模型(LLM)与这些服务器交互。MCP(模型上下文协议)是一个开放协议,用于标准化应用程序向 LLM 提供上下文的方式。

This is not Gosset MCP as described here. For accessing Gosset MCP you need an active Gosset account. Reach out to us for details.
Agent Skills

Agent skills extracted from real work. Each one shipped something first.

Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/

Open the interactive guide to learn more about the Skill

The open agent skills tool - npx skills

A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.

Keep your skills sharp. Intelligence for agent context.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.