Mcp Server AI Agent Skills

Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.

This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities. - extract-web-data - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract. To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite

remotely attestable MCP server This project contains an MCP Server that is remotely attestable by MCP clients. To achieve this, a trusted execution environment is used, which generates a certificate representing the currently-running code of the attestable-mcp-server. The attestable-mcp-server sends this certificate in the TLS handshake to an MCP client before connecting that proves the code it's

⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly. Thanks to these wonderful people for their contributions ⭐ ljt270864457 LilNick0101 - Read The Docs is now live: https://jadx-ai-mcp.readthedocs.io/en/latest/ JADX-AI-MCP is a plugin for the JA

A Model Context Protocol (MCP) server that interfaces with the HackMD API, allowing LLM clients to access and interact with HackMD notes, teams, user profiles, and history data. - Get user profile information - Create, read, update, and delete notes - Manage team notes and collaborate with team members - Access reading history - List and manage teams - Dual transport support: Both HTTP and STDIO t

MetaMCP is a MCP proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares. MetaMCP itself is a MCP server so it can be easily plugged into ANY MCP clients. For more details, consider visiting our documentation site: https://docs.metamcp.com English | 中文 - 🎯 Use Cases - 📖 Concepts - 🖥️ MCP Server - 🔐 Environment Variables \& Secrets (STDIO MCP Serve

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities. - Web scraping, crawling, and discovery - Search and content extraction - Deep research and batch scraping - Cloud browser sessions with agent-browser automation - Automatic retries and rate limiting - Cloud and self-hosted support - SSE support Configuring Cursor 🖥️ Note: Requires C

RAGMap is a lightweight MCP Registry-compatible subregistry + MCP server focused on RAG-related MCP servers. - Ingests the official MCP Registry, enriches records for RAG use-cases, and serves a subregistry API. - Exposes an MCP server (remote Streamable HTTP + local stdio) so agents can search/filter RAG MCP servers. MapRag is a discovery + routing layer for retrieval. It helps agents and humans

There is a notable gap in the current AI Agent ecosystem: - Most MCP Servers are simple wrappers around Web APIs - Functionality interfaces may not be complete, depending on developer implementation - Manual creation of MCP interfaces is time-consuming and error-prone - Lack of standardized conversion processes MCP Link solves these issues through automation and standardization, allowing any API t

This repository contains an implementation of a Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources. Run the server with stdio transport (for integration with LLMs): Or run it as an SSE server: The MCP server exposes the following tools to LLMs: 1. search - Search RAE API for information -

A Model Context Protocol (MCP) server for TikTok Ads API integration. This server enables AI assistants like Claude to interact with TikTok advertising campaigns, providing comprehensive campaign management, analytics, and optimization capabilities. This project is part of the AdsMCP AI advertising automation platform, an AI-powered platform designed to simplify and automate ad campaign management

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client. Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Wind

A Model Context Protocol (MCP) server for integrating with the Tomba.io API. This server provides comprehensive email discovery, verification, and enrichment capabilities through a standardized MCP interface. - Domain Search: Find all email addresses associated with a domain - Email Finder: Generate likely email addresses from names and domains - Email Verifier: Verify email deliverability and che

An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP). - Spotify authentication - Search for tracks, albums, artists, and playlists - Playback control (play, pause, next, previous) - Create and manage playlists - Get personalized recommendations - Access user's top played tracks over different time periods - Node.js 16 or higher - Spotify account

This project is an MCP (Model Context Protocol) server that provides a set of tools to interact with the AviationStack API. It exposes endpoints for retrieving real-time and future flight data, aircraft and airplane details, and core reference data (airports, airlines, routes, taxes), making it easy to integrate aviation data into your applications. You can also find the Aviationstack MCP server i

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

OMOPHub MCP Server Medical vocabularies for AI agents. Search, map, and navigate 10M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. Quick Start · Examples · Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Ev

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.

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 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

MCP server for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

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