Mcp AI Agent Skills

searchcraft-mcp-server An MCP Server powered by Searchcraft – the developer-first vertical search engine. The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexe

This plugin brings S&P Global's financial data and analytics directly into your AI workflow via a set of pre-built skills. It is designed for financial professionals who want AI-assisted research, analysis, and document generation grounded in authoritative S&P Global data. The skills are built on open standards (MCP) and are designed to work across AI platforms and agent frameworks. While the plug

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

- 🎯 Quick Start - Become an x402 Champion - 📚 Official Resources - 📖 Protocol Documentation - 🚀 Quickstart Guides - ⚙️ Protocol Implementations - 🏭 Production Implementations - 🛠️ SDKs & Client Libraries - 🔧 Server Frameworks & Middleware - 🏗️ Facilitators - 💡 Example Applications - 🎨 Use Cases & Patterns - 🤖 AI Agent Integration - 🔨 Tools & Utilities - 🧪 Testing & Development - 📚 Tu

The is a remote MCP server that wraps the TripGo API and provides the following tools: - tripgo-locations: Retrieve transport-related locations - tripgo-departures: Departures from a specific public transport stop - tripgo-routing: Mixed and multi-modal trip planning - tripgo-get-trip-url: Get the URL of a trip previously calculated using the tripgo-routing tool The MCP server is deployed on Cloud

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

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

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

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browse

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-

operative.sh's MCP Server launches a browser-use powered agent to autonomously execute and debug web apps directly in your code editor. - 🌐 Navigate your webapp using BrowserUse (2x faster with operative backend) - 📊 Capture network traffic - requests are intelligently filtered and returned into the context window - 🚨 Collect console errors - captures logs & errors - 🤖 Autonomous debugging - t

A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments. - Simple integration with Model Context Protocol framework - Support for headless and UI modes - Configurable test parameters (users, spawn rate, runtime) - Easy-to-use API for running Locust load

Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

App Store Connect MCP Server A Model Context Protocol server for the App Store Connect API. Manage apps, builds, TestFlight, reviews, and more — directly from Claude. Works with: asc-mcp is a Swift-based MCP server that bridges Claude (or any MCP-compatible host) with the App Store Connect API. It exposes 208 tools across 25 workers, enabling you to automate your entire iOS/macOS release workflow

A production-ready Model Context Protocol (MCP) server for Method CRM API integration. This server enables LLMs to interact with Method CRM data through well-designed tools for tables, files, users, events, and API key management. - 20 Comprehensive Tools covering all Method CRM operations - API Key Authentication (fully implemented) with OAuth2 placeholders - Dual Transport Support: stdio (local)

A Model Context Protocol (MCP) server implementation for the Linear GraphQL API that enables AI assistants to interact with Linear project management systems. MCP Linear bridges the gap between AI assistant and Linear (project management tool) by implementing the MCP protocol. This allows to: - Retrieve issues, projects, teams, and other data from Linear - Create and update issues - Change issue s

Piston MCP Server piston-mcp is an MCP server that allows LLMs to connect to and execute code using Piston . You can try out piston-mcp locally without cloning it. To try out piston-mcp you'll need to install uv: You will also need to download an MCP client to connect to piston-mcp, such as Claude Desktop. Update the MCP client's configuration with the following configuration to connect to piston-

An MCP (Model Context Protocol) server for fetching photos from Unsplash with proper attribution. Designed for LLMs building content pages that need properly credited images. - Search Photos - Find photos by keyword with filters (color, orientation) - Random Photos - Get random photos for variety in content - Download Tracking - Compliant with Unsplash API guidelines - Full Attribution - Every pho

A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList. - Search for anime, manga, characters, staff, and studios - Get detailed information about specific anime, manga, characters, and staff members - Access user profiles and lists - Support for advanced filtering optio

一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具 零配置将您的 REST API 转换为 AI 可调用的工具 🚀 快速开始 • 📖 使用指南 • 🛠️ 开发 Languages: English | 中文 MCP Swagger Server 是一个将 OpenAPI/Swagger 规范转换为 Model Context Protocol (MCP) 格式的工具。 - 🔄 零配置转换: 输入 OpenAPI 规范，立即获得 MCP 工具 - 🎯 渐进式命令行: 提供逐步引导的命令行界面，方便用户配置 - 🔌 多传输协议: 支持 SSE、Streamable 和 Stdio 传输 - 🔐 安全认证: 支持 Bearer Token 认证保护 API 访问 - Node.js ≥ 20.0.0 - pnpm

A weather forecast MCP (Model Context Protocol) server providing 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0. Animation showing Claude Desktop processing the weather data from the MCP Server Claude Desktop showing a detailed weather forecast with lawn mowing recommendations - 🌍 Support for querying weather conditions anywhere in the worl

A standalone MCP server for API testing and management, allowing AI assistants to interact with RESTful APIs through natural language. Postmancer is an MCP (Model Context Protocol) server that enables AI assistants like Claude to make HTTP requests, manage collections of API endpoints, and test API responses. It provides similar functionality to tools like Postman or Insomnia but designed specific

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer - Key Features - MCP Overview - Getting Started - Best Practices - Contributing - Resources - ⚡ Real-time control: Instantly view notebook changes as they happen. - 🔁 Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback. - 🧠 Context-aware: Understands