MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1062 servers
This project provides an MCP (Model Context Protocol) server for interacting with Kaggle from Claude Desktop (or any MCP-compatible client) pip install -r requirements.txt Go to your Kaggle account -> Settings Scroll to API section → click Create New API Token. This will download a file called kaggle.json. Place kaggle.json in the following location on your system: ~/.kaggle/kaggle.json C:\Users\
An MCP server that brings your curated Obris knowledge into any AI conversation. Use the Chrome extension or upload directly to save knowledge to dedicated topics so you never start another AI chat from zero again. - List topics — Browse all your Obris topics to find the one you need - Pull in knowledge — Retrieve saved bookmarks, highlights, and notes as context for any conversation - Save knowle
KISS overzealous agents goodbye. Plug & play agent oversight tool. Based on research: In our study agents calling Vibe Check improved success +27% and halved harmful actions -41% Featured on PulseMCP “Most Popular (This Week)” • 5k+ monthly calls on Smithery.ai • research-backed oversight • STDIO + streamable HTTP transport Plug-and-play mentor layer that stops agents from over-engineering and kee
This server acts as a bridge, exposing the powerful analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models like Claude. It allows these clients to leverage Cortex analyzers for threat intelligence tasks. Cortex is a powerful, free, and open-source observable analysis and active response engine. It allows you to analyze
� Migrate to MCP Platform • 💬 Discord Community • � Legacy Docs Zero-configuration deployment of production-ready MCP servers with Docker containers, comprehensive CLI tools, and intelligent caching. Focus on AI integration, not infrastructure setup. That's it! Your MCP server is running at http://localhost:8080 Perfect for: AI developers, data scientists, DevOps teams building with MCP. Deploy M
An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i
MCP server for Google Keep 1. Add the MCP server to your MCP servers: 2. Add your credentials: GOOGLEEMAIL: Your Google account email address GOOGLEMASTERTOKEN: Your Google account master token Check https://gkeepapi.readthedocs.io/en/latest/obtaining-a-master-token and https://github.com/simon-weber/gpsoauth?tab=readme-ov-filealternative-flow for more information. find: Search notes with optional
MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports. Your personal Research Assistant, turning research questions into comprehensive, well-cited reports. Youtube: https://youtu.be/a7sfo5yxoI 1. Download Claude Desktop - Get it here 2. Install
An MCP server that provides real-time trending tokens from DexScreener for BSC and Solana chains. - Tool: gettrendingpairs — fetch top trending pairs - Supports chain parameter: bsc (default) or solana - Returns both Markdown-formatted table (nice display in chat) and structured JSON array - Prompt: analyzetrendingtoken — ready-to-use analysis template for any token 1. Clone the Repository: 2. Ins
An enterprise-grade MCP (Model Context Protocol) server for Jenkins CI/CD integration with advanced features including multi-tier caching, pipeline monitoring, artifact management, and batch operations. - Job Management: Trigger, list, search, and monitor Jenkins jobs with folder support - Build Status: Real-time build status tracking and console log streaming - Pipeline Support: Stage-by-stage pi
A Model Context Protocol (MCP) server that connects Claude to the XERT API, providing access to your fitness signature, training load, workouts, and activities. - 📊 Fitness Signature - Get your current FTP, LTP, HIE, and Peak Power - 🎯 Training Status - Check freshness, training load, and recommended XSS - 🏋️ Workout of the Day - AI-powered workout recommendations - 📋 Workouts - List, view det
A feedback loop for people building AI skills and MCP servers. You're building a skill, an MCP server, or a custom prompt strategy that's supposed to make an AI coding assistant better at a specific job. But how do you know it actually works? How do you know your latest commit made things better and not worse? Pitlane gives you the answer. Define the tasks your skill should help with, set up a bas
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha
Full documentation is available at buildkite.com/docs/apis/mcp-server. When using many MCP tools, context usage can become significant. The --dynamic-toolsets flag enables Anthropic's Tool Search pattern which marks most tools for on-demand loading. To use this feature: 1. Start the server with the --dynamic-toolsets flag: 2. Enable tool search in Claude Code by setting the environment variable: W
MCP (Model Context Protocol) server for GPTZero AI detection API. Detect AI-generated text directly from Claude, ChatGPT, or any LLM that supports MCP. If you find this MCP server useful, please consider supporting its development! 👉 Click here to support this project Your support helps maintain and improve this tool for everyone. Thank you! 🙏 - 🤖 Detect AI-generated text with confidence scores
An open-source Model Context Protocol (MCP) server that connects AI agents to the Counsel API for strategic reasoning and multi-perspective analysis. - Hosted & Self-Hosted - Use the hosted server instantly or run your own instance - Strategic Reasoning - Access Counsel's debate and multi-perspective reasoning engines - Advisor Sessions - Run interactive intake and profile tuning sessions - Native
English | 简体中文 | 繁體中文 A context-aware Model Context Protocol (MCP) server that acts as a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive quizzes and provides agents with a persistent project-specific debugging memory. 🎓 learningsession - Interactive Learning Card Trigger: User explicitly requests (e.g., "Quiz me", "Test my un
A next-generation framework documentation provider for Claude Code via Model Context Protocol (MCP). Provides query-focused API context by extracting TypeScript definitions directly from npm packages - delivering minimal, accurate information instead of dumping entire documentation pages. mcp-name: dev.augments/mcp Version 4.0 introduces a fundamentally new approach to framework documentation: Doc
An MCP (Model Context Protocol) server that connects your Mendeley reference library to LLM applications like Claude Desktop, Cursor, and other MCP-compatible clients. - Search your library - Find papers by title, author, abstract, or notes - Browse folders - Navigate your collection structure - Get full metadata - Retrieve complete document details including abstracts - Search global catalog - Ac
Publish the package to npmjs by bumping version, building, and creating a GitHub release
通过 uvx 安装并运行： 安装完成后，直接运行： 运行后你可以直接使用工具，例如： 或（如果是 uvx 安装）： 好的，这是转换后的 Markdown 版本： 好的，这是转换后的 Markdown 版本： 1. 配置环境变量（可选） 你可以通过 .env 文件或系统环境变量配置 DolphinDB 的连接信息： 也可以不设置，系统将使用默认值。 该命令会启动 MCP 插件服务，供外部调用。 3. FastMCP Agent 使用示例 启动后，你的工具将通过 FastMCP 对外暴露以下函数接口： listtbs(dbName: str) querytablediskusage(database: str, tableName: str) querydolphindb(script: str) 可通过 MCP 前端界面或对接 LLM 工具链来进行访问。
Biel.ai MCP Server Connect your IDE to your product docs Give AI tools like Cursor, VS Code, and Claude Desktop access to your company's product knowledge through the Biel.ai platform. Biel.ai provides a hosted Retrieval-Augmented Generation (RAG) layer that makes your documentation searchable and useful to AI tools. This enables smarter completions, accurate technical answers, and context-aware s
- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec