MCP Servers

MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client. - searchpeople — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring. - searchcompanyleads — find companies and leads/contacts

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs. This implementation provides schema introspection and query execution capabilities, allowing models to discover and use GraphQL APIs dynamically. Run mcp-graphql with the correct endpoint, it will automatically try to introspect your queries. - graphql-schema: The server exposes the GraphQL schema as a resource that c

The Web MCP 🌐 Give your AI real-time web superpowers Seamlessly connect LLMs to the live web without getting blocked Quick Start • Features • 🎉 Free Tier Available! 🎉 5,000 requests/month FREE Perfect for prototyping and everyday AI workflows 🚀 Launch Week - January 2026 🚀 5 Days of Major Releases! 📦 Tool Groups 🧙 Setup Wizard ⚡ Token Efficiency 🏢 Enterprise Integrations 📊 Observability

An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.

MCP server implementation for Kibela API integration, enabling LLMs to interact with Kibela content. - Search notes with advanced filters - Get your latest notes - Get note content and comments - Manage groups and folders - Like/unlike notes - List users - View note attachments - View recently viewed notes - Get notes by path - KIBELATEAM: Your Kibela team name (required) - KIBELATOKEN: Your Kibel

The Web, Readable. Your AI agent spends 60,000 tokens just to look at a web page. Charlotte does it in 336. Charlotte is an MCP server that gives AI agents structured, token-efficient access to the web. Instead of dumping the full accessibility tree on every call, Charlotte returns only what the agent needs: a compact page summary on arrival, targeted queries for specific elements, and full detail

A lightweight, zero-config MCP server for documentation projects. Give it an llms-full.txt file (local path or URL) and optional OpenAPI/AsyncAPI directories. It also hellps you to build one if you do not have it. It registers only the MCP tools that make sense for what you've provided — no code changes, no hard-coded paths. - Why it's different - When to use this — and when not to - How it works

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify. - ✨ Features - 🎨 Skill Usage - 🚰 Run with SSE or Streamable transport - 🎮 CLI Options

A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto

A Model Context Protocol (MCP) server that transforms how you interact with Google Search Console, Bing Webmaster Tools, and Google Analytics 4. Stop exporting CSVs and start asking questions. 📚 View Documentation Data Silos: Manually checking Google, then Bing, then GA4. Manual Correlation: Exporting 3 different CSVs and using VLOOKUPs to see if your 1 ranking page actually converts. Switching F

A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters. Developed by iunera - Advanced AI and Data Analytics Solutions This MCP server implements a feature-based architecture where each package represents a distinct functional area of Druid management. The server provides three main types

JupyterMCP connects Jupyter Notebook to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Jupyter Notebooks. This integration enables AI-assisted code execution, data analysis, visualization, and more. This tool is compatible ONLY with Jupyter Notebook version 6.x. It does NOT work with: - Jupyter Lab - Jupyter Notebook v7.x - VS Code Noteboo

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

A powerful Go-based MCP server that enables seamless integration between AI assistants (like Claude Desktop, Cursor) and Kanboard project management system. Manage your Kanboard projects, tasks, users, and workflows directly through natural language commands. ⚠️ Warning: To avoid issues like these: We recommend using mcpproxy as a proxy solution. - ✨ Features - 🚀 Quick Start - ⚙️ Configuration -

Production-Ready Model Context Protocol (MCP) server that enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows - similar to how Playwright works for web browsers. This server is fully production-ready with: - ✅ No native compilation required (removed node-pty dependency) - ✅ Full cross-platform support (Windows, macOS, Li

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A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way. The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work wi

ScriptFlow is a script workflow management system built on the Model Context Protocol (MCP). It transforms complex, repetitive AI interactions into persistent, executable scripts that can be managed, version-controlled, and reused across sessions. 1. Transform Workflows into Scripts: Convert successful AI interactions into reusable, executable scripts 2. Save Time & Tokens: Execute complex tasks i

The stable, glowing orb at the center represents the persistent context that survives across chat sessions. The flowing data streams show how ongoing conversations connect to and draw from this stable core of information, preventing context loss. A static MCP (Model Context Protocol) server that provides AI models with persistent tool context, preventing context loss between chat sessions. This se

An opinionated Jira MCP server built from years of real-world software development experience. Unlike generic Jira integrations, this MCP is crafted from the daily workflows of engineers and automation QC teams. You'll find sophisticated tools designed for actual development needs—like retrieving all pull requests linked to an issue, managing complex sprint transitions, or tracking development inf

A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list through Claude. This is a basic implementation tailored specifically for my minimalist todo list setup in Notion. This is a personal project designed for a very specific use case: my simple Notion todo list that has just three properties: - Task (title) - When (select with only two option

An MCP (Model Context Protocol) server that makes critical best practices automatically available to Claude AI in every conversation. Based on exhaustive analysis of 96+ real documented failures over 6+ months of intensive production usage. The system provides 21 numbered rules organized into 5 categories, with automatic verification checklists, rule summaries, and auto-update capabilities. - 21 C

A modular and extensible Model Context Protocol (MCP) server for Jira and GitHub integration, enabling end-to-end automation of developer workflows - from issue tracking to code changes and pull request management - via AI agents inside the IDE. - Jira integration: fetch issues by filters, search via JQL, and transition issues across workflows - GitHub integration: create branches, open and merge

Advanced filesystem operations for Claude Desktop with large file handling capabilities and Claude-optimized features. Add to your Claude Desktop config. - Basic setup - With backup files enabled Control backup file creation behavior. - CREATEBACKUPFILES=false (default): Disables backup file creation to reduce clutter - CREATEBACKUPFILES=true: Creates backup files before modifications Note: Backup