Top MCPs by Category

GitHub's official MCP Server. This repository hosts the MCP server implementation that enables Model Context Protocol (MCP) tooling for GitHub data and workflows. It exposes a wide registry of MCP tools spanning code management, repository operations, issues, pull requests, workflows, gists, and more. The documentation and commit history reveal a broad set of tools (GetMe, GetTeams, ListIssues, CreateOrUpdateFile, GetRepositoryTree, and many others) that are designed to be wired into dynamic toolsets and accessed via a consistent ServerTool pattern. This MCP server is built with extensibility in mind, supporting features like tool dependencies, dynamic toolsets, and feature flags to adapt to varied prompts and use cases. The project emphasizes a registry-driven approach where tools, resources, and prompts are defined and validated, enabling robust integration with client apps and AI models.

OpenMCP is a dual-purpose framework: a standard for converting web APIs into MCP servers and an open-source registry of servers that follow that standard. Each OpenMCP server exposes a token-efficient MCP interface that enables MCP clients to make requests to a target web API on behalf of users. Together, the servers in the registry enable client LLMs to fetch data and perform actions across a broad set of domains, providing a scalable, interoperable way to integrate external services with MCP clients. The documentation guides you through creating a server, adding it to MCP clients, and converting various web API formats into OpenMCP-compatible servers, covering REST, gRPC, JSON-RPC, GraphQL, SOAP, and PostgREST variants.

MCPJungle is a self-hosted MCP Gateway and Registry for AI agents. It serves as a central registry and gateway to manage Model Context Protocol (MCP) servers and the tools they expose. By consolidating MCP server registration, tool discovery, and access control, MCPJungle enables AI agents and clients to discover, group, and securely invoke tools from a single, unified gateway. The project provides a CLI, Docker-based deployment options, and enterprise-ready features such as tool grouping, access control, and observability to streamline MCP-based workflows across organizations.

MCP Access Point is a lightweight gateway that turns existing HTTP services into MCP (Model Context Protocol) endpoints with zero code changes. Built on high-performance Pingora proxy, it enables seamless protocol conversion between HTTP and MCP, supporting both SSE and Streamable HTTP. Designed for multi-tenant deployments, it offers a RESTful Admin API for real-time configuration management, dynamic updates, and resource administration without restarting the service. This repository provides a clear Quick Start, multi-tenancy guidance, and admin operations to manage upstreams, services, routes, and more, making it easy to expose legacy HTTP APIs to MCP clients like Cursor Desktop and MCP Inspectors.

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. It functions as an MCP Aggregator, Orchestrator, Middleware, and Gateway all in one docker image, enabling scalable, configurable hosting of multiple MCP servers behind a single endpoint with flexible authentication, tooling, and annotations. This README introduces core concepts such as MCP Server configurations, Namespaces, Endpoints, Middleware, Inspector, and Tool Overrides & Annotations, and provides quick-start guidance for running MetaMCP with Docker, building a development environment, and integrating with clients like Claude Desktop via proxies. It also covers MCP protocol compatibility, authentication options (including API keys, OAuth, and OIDC), and integration guidance for developers looking to remix MCP tool flows and middleware pipelines.

MCPJungle is a self-hosted MCP Gateway and Registry for AI agents. It serves as a central registry and gateway to manage Model Context Protocol (MCP) servers and the tools they expose. By consolidating MCP server registration, tool discovery, and access control, MCPJungle enables AI agents and clients to discover, group, and securely invoke tools from a single, unified gateway. The project provides a CLI, Docker-based deployment options, and enterprise-ready features such as tool grouping, access control, and observability to streamline MCP-based workflows across organizations.

MCP server for Yahoo Finance stock data. Get real-time stock quotes, historical prices, financial statements, analyst ratings, and company fundamentals for any ticker symbol. Track portfolios and monitor market movements. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--yahoo-finance-mcp-server.apify.actor/mcp

MCP server for financial data and market intelligence. Access stock screeners, currency exchange rates, cryptocurrency prices, and financial news. Aggregate data from multiple financial sources for comprehensive market analysis. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--finance-mcp-server.apify.actor/mcp

MCP server for SEO auditing and website performance analysis. Run page speed tests, analyze Core Web Vitals, check site health, and get actionable SEO recommendations. Monitor website performance over time and benchmark against competitors. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--seo-web-analysis-mcp-server.apify.actor/mcp

MCP server for developer productivity tools. Validate emails, analyze page speed performance, scrape Hacker News posts, and access tech community data. A Swiss-army knife for developers building AI-powered workflows. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--developer-tools-mcp-server.apify.actor/mcp

MCP server for Redfin real estate data. Search active property listings, get home valuations, view price history, and analyze neighborhood market trends from Redfin. Filter by location, price, beds, baths, and property type. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--redfin-mcp-server.apify.actor/mcp

MCP server for comprehensive real estate data extraction. Search property listings, get home prices, neighborhood data, and market trends from major real estate platforms. Supports filtering by location, price range, property type, and more. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--real-estate-mcp-server.apify.actor/mcp

MCP server for financial data and market intelligence. Access stock screeners, currency exchange rates, cryptocurrency prices, and financial news. Aggregate data from multiple financial sources for comprehensive market analysis. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--finance-mcp-server.apify.actor/mcp

MCP server for comprehensive real estate data extraction. Search property listings, get home prices, neighborhood data, and market trends from major real estate platforms. Supports filtering by location, price range, property type, and more. Built on Apify cloud with Streamable HTTP transport. Connect via: https://nexgendata--real-estate-mcp-server.apify.actor/mcp

MCP server for real-time news aggregation and search. Access headlines, full articles, and trending topics from major news sources worldwide. Supports keyword search, category filtering, and multi-source aggregation. Built on Apify cloud infrastructure with Streamable HTTP transport for seamless AI agent integration. Connect via: https://nexgendata--news-mcp-server.apify.actor/mcp

Grok-powered real-time X/Twitter narrative and sentiment analysis for ANY topic. Returns structured JSON with sentiment scores (-1.0 to +1.0), narrative velocity (0-100), top trending narratives with strength scores, key influencer positions, and contrarian signals. Covers crypto, stocks, macro events, brands, tech, politics, culture — anything discussed on X/Twitter. Live search via Grok API — real-time, not historical or scraped. Pay-per-query via x402 micropayments on Base USDC (0.005 USDC/query). MCP-native discovery. Sub-second cached responses, 2-5s fresh. Free preview endpoint for agent evaluation.

Skyvern is the complete browser MCP for AI agents. 75+ tools for clicking, filling forms, extracting structured data, logging in with 2FA, uploading files, drag-and-drop, running JavaScript, inspecting network traffic, multi-tab browsing, and building reusable cached workflows. First workflow run uses AI; subsequent runs replay a cached script with zero LLM calls.

Playwright MCP server. A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables large language models (LLMs) to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. The server is designed to be fast, lightweight, and deterministic, offering LLM-friendly tooling and a rich set of browser automation capabilities via MCP tools. It supports standalone operation, containerized deployments, and integration with a variety of MCP clients (Claude Desktop, VS Code, Copilot, Cursor, Goose, Windsurf, and others).

Skyvern is the complete browser MCP for AI agents. 75+ tools for clicking, filling forms, extracting structured data, logging in with 2FA, uploading files, drag-and-drop, running JavaScript, inspecting network traffic, multi-tab browsing, and building reusable cached workflows. First workflow run uses AI; subsequent runs replay a cached script with zero LLM calls.

An MCP (Model Context Protocol) server designed to integrate Claude Desktop, Claude Code, Windsurf, and Cursor with n8n workflows. This MCP enables users to build, test, and orchestrate complex workflows by exposing a set of tools that bridge Claude’s capabilities with n8n’s automation platform. The project emphasizes robust trigger handling, multi-tenant readiness, and progressive documentation to help developers understand how tools map to real-world workflow tasks. It also outlines future tooling integration points (such as getNodeEssentials and getNodeInfo) to further enhance node-structure awareness within MCP-powered automations.

Skyvern is the complete browser MCP for AI agents. 75+ tools for clicking, filling forms, extracting structured data, logging in with 2FA, uploading files, drag-and-drop, running JavaScript, inspecting network traffic, multi-tab browsing, and building reusable cached workflows. First workflow run uses AI; subsequent runs replay a cached script with zero LLM calls.

OpenClaw MCP Server is a secure Model Context Protocol (MCP) bridge that connects Claude.ai with a self-hosted OpenClaw assistant, enabling OAuth2 authentication and safe, controlled communication between the Claude AI ecosystem and your local or hosted OpenClaw deployment. This MCP server acts as an orchestration layer that exposes MCP tools to Claude.ai, manages authentication, and enforces security boundaries like CORS and transport options. It is designed to be deployed via Docker or run locally, with detailed installation, configuration, and security guidance provided in the documentation. By serving as a bridge, it enables Claude.ai to delegate tasks to your OpenClaw bot while preserving control over data flow and access controls, in line with MCP specifications and best security practices.

SafeAgent is a security-first MCP server that gives AI agents the ability to check if a cryptocurrency token is safe before trading. **What it does:** - Honeypot detection — simulates real DEX buy+sell to verify you can actually sell - Scam pattern analysis — 17 patterns including hidden mint, fee manipulation, blacklists - Owner analysis — checks if ownership is renounced or if owner has dangerous functions - Proxy detection — flags upgradeable contracts - Source code audit — deep analysis of verified contracts - Multi-chain — supports Base, Ethereum, Arbitrum, Optimism, Polygon, BSC **Why agents need this:** Every AI agent that trades tokens needs to verify safety BEFORE buying. One API call prevents buying a honeypot or rug pull. SafeAgent provides a safety score (0-100), verdict (LIKELY SAFE / MODERATE RISK / LIKELY SCAM), and detailed flags. **Also includes:** - DeFi yield scoring (17K+ pools, quality grades A-F) - Market overview (TVL, top gainers/losers, risk alerts)

OpenClaw MCP Server is a secure Model Context Protocol (MCP) bridge that connects Claude.ai with a self-hosted OpenClaw assistant, enabling OAuth2 authentication and safe, controlled communication between the Claude AI ecosystem and your local or hosted OpenClaw deployment. This MCP server acts as an orchestration layer that exposes MCP tools to Claude.ai, manages authentication, and enforces security boundaries like CORS and transport options. It is designed to be deployed via Docker or run locally, with detailed installation, configuration, and security guidance provided in the documentation. By serving as a bridge, it enables Claude.ai to delegate tasks to your OpenClaw bot while preserving control over data flow and access controls, in line with MCP specifications and best security practices.

mcp-server-with-spring-ai is a Spring Boot integrated MCP (Model Context Protocol) server example that showcases how to expose executable tools from an MCP server to clients (including LLMs) and how to wire a MCP client to consume those tools. The documentation explains MCP at a high level, outlines the three-layer MCP Java SDK architecture (Client/Server Layer, Session Layer, Transport Layer), and demonstrates two sample tools implemented in SellerAccountTools. This repo emphasizes how an MCP server can connect to external data sources (e.g., a PostgreSQL DB) and expose tools that an AI model can invoke to retrieve data, with the example illustrating tool invocation and automatic tool selection by prompts.

Neurolink includes an External MCP Server capability, enabling seamless integration with external Model Context Protocol (MCP) servers. This feature loads and manages external MCP servers from a dedicated configuration file (.mcp-config.json), enables real JSON-RPC based communication, and supports end-to-end tool execution within the NeuroLink platform. It is designed for multi-provider AI workflows, allowing providers to delegate tool execution to external servers while preserving type safety, robust error handling, and deterministic behavior. The documentation highlights how to configure external MCP servers, register and discover tools, and perform end-to-end tool execution through the CLI, ensuring a production-ready MCP ecosystem.

mcp-server-with-spring-ai is a Spring Boot integrated MCP (Model Context Protocol) server example that showcases how to expose executable tools from an MCP server to clients (including LLMs) and how to wire a MCP client to consume those tools. The documentation explains MCP at a high level, outlines the three-layer MCP Java SDK architecture (Client/Server Layer, Session Layer, Transport Layer), and demonstrates two sample tools implemented in SellerAccountTools. This repo emphasizes how an MCP server can connect to external data sources (e.g., a PostgreSQL DB) and expose tools that an AI model can invoke to retrieve data, with the example illustrating tool invocation and automatic tool selection by prompts.

Pipedream MCP Server is a reference implementation for self-hosting a Model Context Protocol (MCP) server. It showcases how to manage and serve MCP-based apps and tools in your own environment, providing you with a way to run MCP servers locally or within your organization. Note that this MCP server is a reference implementation and is no longer actively maintained; for production workloads, Pipedream recommends using the remote MCP server, which offers hosted reliability and scaling. The server supports two primary modes and integrates with Pipedream Connect for authentication and API management, enabling automatic app discovery and credential storage with enterprise-grade security.

SEObot is a fully autonomous AI-powered SEO robot designed for busy founders. It automates core SEO tasks—from programmatic SEO and internal linking to AI-driven backlinks, keyword research, and content generation—so you can focus on building your product. With AI agents working across CMS integrations, SEObot promises scalable SEO workflows, ongoing content creation, and automated optimization. This registry entry captures SEObot’s capabilities, supported tools, and integration avenues to help developers and business owners implement and leverage its AI-powered SEO automation.

Roundtable AI MCP Server is a zero-configuration local MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and a standardized interface. It coordinates specialized sub-agents from within your IDE to solve engineering problems in parallel, sharing context and synthesizing responses into a single, high-quality output. This documentation details installation, available MCP tools, integration with popular IDEs, and a broad ecosystem of specialized tools and CLIs that can be invoked as part of a roundtable-powered workflow, enabling developers to delegate tasks to the right AI for each facet of a problem without leaving their development environment.

Shadcn UI v4 MCP Server is an advanced MCP (Model Context Protocol) server designed to give AI assistants comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata. It enables multi-framework support (React, Svelte, Vue, and React Native) with fast, cache-friendly access to component source code, demos, and directory structures, empowering AI-driven development workflows. The project emphasizes production-readiness with Docker Compose, SSE transport for multi-client deployments, and smart caching to optimize GitHub API usage while providing rich metadata and usage patterns for rapid prototyping and learning across frameworks.

Appwrite MCP server is a Model Context Protocol server that enables AI models to interact with Appwrite’s backend. It provides a curated set of MCP tools to manage databases, users, functions, teams, and more within your Appwrite project, enabling powerful AI-assisted workflows and natural-language interactions with your backend. The server ships with the Databases tools enabled by default to keep prompts within context limits and can be extended by enabling additional APIs via command-line flags. This makes it easier to build AI-powered applications that leverage Appwrite APIs securely and efficiently.

MarkItDown-MCP is a lightweight MCP (Model Context Protocol) server provided as the markitdown-mcp package. It exposes a STDIO, Streamable HTTP, and SSE MCP server designed for calling MarkItDown to convert content to Markdown. The package focuses on simplicity and accessibility, enabling you to run the MCP server locally via a simple CLI, or in Docker for containerized workflows, with integration options for Claude Desktop. The core capability is exposed through a single tool, convert_to_markdown(uri), which accepts a URI in http:, https:, file:, or data: schemes to fetch content and convert it to Markdown. This MCP server is easy to install with pip and can be used in various transport modes, including STDIO and HTTP/SSE, making it a flexible choice for automations and integrations.

IO Aerospace MCP Server is a production-ready Model Context Protocol (MCP) server designed for aerospace and astrodynamics calculations. It exposes a rich set of tools for celestial body ephemeris, orbital mechanics, DSN ground station operations, solar system object properties, and comprehensive unit and time system conversions. Built on the IO Aerospace Astrodynamics framework, this server delivers core algorithms for ephemerides, geometry, and time systems, enabling developers to integrate advanced aerospace calculations into local or hosted deployments. The project supports both modern streamable-HTTP transport and legacy SSE/STDIO configurations, with self-hosting options via Docker or native .NET deployments for flexible integration into existing ecosystems.

MarkItDown-MCP is a lightweight MCP (Model Context Protocol) server provided as the markitdown-mcp package. It exposes a STDIO, Streamable HTTP, and SSE MCP server designed for calling MarkItDown to convert content to Markdown. The package focuses on simplicity and accessibility, enabling you to run the MCP server locally via a simple CLI, or in Docker for containerized workflows, with integration options for Claude Desktop. The core capability is exposed through a single tool, convert_to_markdown(uri), which accepts a URI in http:, https:, file:, or data: schemes to fetch content and convert it to Markdown. This MCP server is easy to install with pip and can be used in various transport modes, including STDIO and HTTP/SSE, making it a flexible choice for automations and integrations.

IO Aerospace MCP Server is a production-ready Model Context Protocol (MCP) server designed for aerospace and astrodynamics calculations. It exposes a rich set of tools for celestial body ephemeris, orbital mechanics, DSN ground station operations, solar system object properties, and comprehensive unit and time system conversions. Built on the IO Aerospace Astrodynamics framework, this server delivers core algorithms for ephemerides, geometry, and time systems, enabling developers to integrate advanced aerospace calculations into local or hosted deployments. The project supports both modern streamable-HTTP transport and legacy SSE/STDIO configurations, with self-hosting options via Docker or native .NET deployments for flexible integration into existing ecosystems.

MarkItDown-MCP is a lightweight MCP (Model Context Protocol) server provided as the markitdown-mcp package. It exposes a STDIO, Streamable HTTP, and SSE MCP server designed for calling MarkItDown to convert content to Markdown. The package focuses on simplicity and accessibility, enabling you to run the MCP server locally via a simple CLI, or in Docker for containerized workflows, with integration options for Claude Desktop. The core capability is exposed through a single tool, convert_to_markdown(uri), which accepts a URI in http:, https:, file:, or data: schemes to fetch content and convert it to Markdown. This MCP server is easy to install with pip and can be used in various transport modes, including STDIO and HTTP/SSE, making it a flexible choice for automations and integrations.

mcpmcp-server is a focused solution for discovering, setting up, and integrating MCP servers with your favorite clients to unlock AI-powered workflows. It streamlines how you connect MCP-powered servers to popular clients, enabling seamless AI-assisted interactions across your daily tools. The project emphasizes an approachable, config-driven approach to linking MCP servers with clients like Claude Desktop, while directing you to the homepage for variations across apps and platforms. This README highlights a practical JSON configuration example and notes on supported environments, helping you get started quickly and confidently.

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation, content analysis, and semantic search. It leverages your existing Chrome environment, including login states and configurations, to allow large language models and chatbots to control the browser natively without needing to launch a separate automation process. The project emphasizes privacy by remaining fully local and offers capabilities such as cross-tab context, streamable HTTP communication, and a built-in vector database for semantic search and content analysis. As an early-stage project, it includes a growing set of tools for browser control, inspection, and automation, with ongoing development to broaden compatibility and features.

Claude Skills MCP Server is an MCP server that enables intelligent search and retrieval of Claude Agent Skills using vector embeddings and semantic similarity. It implements a progressive disclosure architecture so AI applications can discover and load skills in stages (metadata → full content → files) while remaining fast and local. The server can load skills from multiple sources, including Official Anthropic Skills, K-Dense AI Scientific Skills, and local directories, providing a zero-configuration experience out of the box for Cursor or standalone usage. The architecture is split into a lightweight frontend and a heavy backend, enabling instant startup and background backend download, with no API keys required and the ability to connect to remote hosted backends if desired.

Appwrite MCP server is a Model Context Protocol server that enables AI models to interact with Appwrite’s backend. It provides a curated set of MCP tools to manage databases, users, functions, teams, and more within your Appwrite project, enabling powerful AI-assisted workflows and natural-language interactions with your backend. The server ships with the Databases tools enabled by default to keep prompts within context limits and can be extended by enabling additional APIs via command-line flags. This makes it easier to build AI-powered applications that leverage Appwrite APIs securely and efficiently.

MCP Server Templates (Legacy) is a flexible platform that provides Docker and Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. It enables you to spin up servers from templates, route requests through a single endpoint with load balancing, and support both deployed (HTTP) and local (stdio) transports — all with sensible defaults and YAML-based configs. This legacy variant lays the groundwork for MCP integrations, while offering a clear upgrade path to the newer MCP Platform. The project emphasizes migration guidance to keep existing configurations working as you move to enhanced architecture and capabilities.