Mcp AI Agent Skills

English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项

A Model Context Protocol (MCP) server for summarizing homepage of the user or contents of subreddits and comments on posts. - Summarize user's reddit frontpage (homepage) with or without comment analyses. - Summarize a subreddit contents by inspecting posts sorted by hot, new, top, rising, random (if aviable) with or without comment analysis. - Summarize comments on a post. - Python 3.12 or higher

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API. It has one tool, chat which relays a question to a config

A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools

GitHub Repo MCP is an open-source MCP server that lets your AI assistants browse GitHub repositories, explore directories, and view file contents. Getting started • Feature overview - 💻 Compatible with Cursor, Windsurf, Claude Desktop, and other MCP clients supporting stdio protocol - 🔎 Browse the contents of any public GitHub repository - 📂 Navigate through repository directories and subdirect

Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code. Or add to ~/.claude.json under the mcpServers key: If you already have DevPlan installed, remove from both scopes and re-add: That's it. DevPlan will guide Claude through the entire process. DevPlan uses a scaffold → enhance → validate workflow that ensures every

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically. - Sales automation assistant. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engine

MCP Server for the Bitrise API, enabling app management, build operations, artifact management, and more. - Comprehensive API Access: Access to Bitrise APIs including apps, builds, artifacts, and more. - Authentication Support: Secure API token-based access to Bitrise resources. - Detailed Documentation: Well-documented tools with parameter descriptions. - VS Code - Installation for VS Code IDE -

Work with code and text, run processes, and automate tasks, going far beyond other AI editors - while using host client subscriptions instead of API token costs. - How to install - Remote MCP (ChatGPT, Claude Web) - Getting Started - Handling Long-Running Commands - Work in Progress and TODOs - Sponsors and Supporters - Testimonials - Frequently Asked Questions - Contributing All of your AI develo

Slack MCP Server Give Claude the same Slack access you have. DMs, threads, history—no admin approval. I built this because I was working with someone to help me manage a complex workload, and we kept hitting walls. They needed context from my messages—"what did X say about Y?"—but Slack's API blocks access to DMs without admin approval. Screenshotting messages is not a workflow. This server bridge

A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con

PiloTY (PTY for your AI Copilot) is an MCP server that gives an agent a persistent, interactive terminal. If you have used Claude Code / Codex to run shell commands, you have probably hit the same wall: tool calls tend to be stateless. Each call starts "fresh", so environment variables disappear, interactive programs cannot be driven reliably, and long-running processes get cut off or orphaned whi

CLI and MCP server for LinkedHelper automation. This project is brought to you by Alexey Pelykh. lhremote lets AI assistants (Claude, etc.) control LinkedHelper through the Model Context Protocol. It can: - App management — detect, launch, and quit LinkedHelper instances - Account & instance control — list accounts, start/stop instances, check status - Campaign automation — create, configure, star

Official Model Context Protocol server for BlogBurst — AI-powered content generation, repurposing, and multi-platform publishing. - Blog Generation — Generate complete blog posts from topics - Content Repurposing — Turn URLs or text into platform-ready social media posts - Platform Content — Generate optimized content for 9+ platforms (Twitter, LinkedIn, Reddit, Bluesky, Threads, Telegram, Discord

This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. We publish an experimental Model Context Protocol Bundle (dbt-mcp.m

CSL-Core (Chimera Specification Language) is a deterministic safety layer for AI agents. Write rules in .csl files, verify them mathematically with Z3, enforce them at runtime — outside the model. The LLM never sees the rules. It simply cannot violate them. Originally built for Project Chimera, now open-source for any AI system. This doesn't work. LLMs can be prompt-injected, rules are probabilist

Zero-hallucination answers • Gemini Deep Research • 14 Security Layers • Enterprise Compliance What's New 2026 • Deep Research • Document API • Create Notebooks • Security • Install - 🔍 Query your NotebookLM notebooks — source-grounded, zero-hallucination answers - 📚 Create & manage notebooks programmatically — no manual clicking - 🎙️ Generate audio overviews — podcast-style summaries of your d

An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi

MCPServers.org | ModelScope | （更多MCP平台陆续上架中……） CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理，于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设，结合多模态大模型 + RAG 技术，集成五大核心能力模块：行业研究、法律法规、社区治理、项目经营、文案写作，并在行业垂类知识基础上，拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势： - 数据资产转化能力： 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集，并构建了一套行业数据质量评估体系，保障准确率和可信度； - 场景穿透能力： 聚焦20+物业行业垂直业务场景，定向选用对应领域知识库，精准匹配； - 生态进化能力： 通过每日实时监测超过500+可信资讯和数据来源，处理10万+实时数据的自更新系

A Model Context Protocol (MCP) server for Airtable with full CRUD operations, schema management, record comments, webhooks, batch operations, governance controls, and AI-powered analytics. Version 4.0.0 | MCP Protocol 2024-11-05 | No installation required — just add this to your Claude Desktop config and restart: macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDAT

P-Link MCP Server is a server compliant with the MCP (Model Context Protocol), integrating fetch-402 client from coinbase, and HTTP 402 protocol on server side, allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a payment system on Solana. It provides a simple interface to: - Pay 402 links - Create 402 payment links (supporting agent payment on Solana and human payment by car