Top MCP Servers

A Model Context Protocol (MCP) server that enables natural language queries to databases

Provides natural‑language search and recommendation for Model Context Protocol servers, delivering rich metadata and real‑time updates.

Provides a Model Context Protocol server that enables LLMs to execute arbitrary shell commands and receive stdout and stderr, with optional stdin for interactive scripts and file creation.

Provides a professional Python framework that standardizes MCP server development, automatically converting FastAPI endpoints into AI-callable tools while supporting interface‑implementation separation and flexible dependency injection.

Converts Markdown content into interactive mindmaps, offering HTML output or a saved file path for seamless integration with AI clients.

Execute Python code within a specified Conda, virtualenv, or UV environment, supporting incremental code generation and dynamic dependency handling for LLMs.

Interact with the macOS Calendar through natural‑language commands, enabling creation, querying, and updating of events in a conversational way.

Generate a customized AI agent harness for any repository, complete with a repo‑aware CLI, MCP server, scoped memory, governance policies, and out‑of‑the‑box support for Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, and RVM.

Provides real‑time tennis scores, player data, fixtures, odds and model win‑probability to LLM agents through a Model Context Protocol (MCP) server.

Query and manage Azure and Microsoft 365 tenants using natural language through Microsoft Graph and Azure Resource Management APIs.

Provides a unified server that aggregates multiple Model Context Protocol (MCP) servers into a single endpoint, simplifying configuration, lowering resource consumption, and offering a standardized interaction layer for AI assistants.

Indexes local codebases into a Neo4j graph, providing AI assistants with rich context for code queries and analysis.

Provides a local‑first markdown editing environment that integrates directly with large language models via a bundled MCP server, supporting AI‑powered rewrite, per‑note git commits, encrypted GitHub sync, and rich authoring features such as WYSIWYG editing, KaTeX, Mermaid, and semantic search.

Provides a native Svelte 5 data grid with a headless core and a ready‑to‑drop render component, offering row‑ and column‑virtualization, Excel‑style filtering, inline editing, grouping, pivot, and server‑side data handling.

Provides programmatic access to Meta Ads data and management capabilities through an MCP server, enabling seamless integration with MCP‑compatible clients.

Enables AI applications and tools to connect to MCP servers on AWS using AWS IAM (SigV4) authentication, handling request signing automatically and providing both a command‑line proxy and a Python library.

Provides access to Milvus vector database functionality through the Model Context Protocol, enabling LLM applications to perform vector search, hybrid search, collection management, and data operations via stdio or Server‑Sent Events.

Provides a fast, stdio‑based server that enables AI agents to perform web searches and fetch page content via the RAG Web Browser Actor.

Provides a local Model Context Protocol server that enables natural‑language interaction with MongoDB databases via LLMs, allowing queries, aggregations, schema analysis and administrative operations.

Provides AI agents with full Google Maps capabilities—geocoding, reverse‑geocoding, nearby searches, place details, directions, distance matrices, and elevation—via the Model Context Protocol.

Provides on‑device persistent memory for AI coding agents, enabling retrieval‑augmented generation, context surfacing, and decision tracking without cloud services or API keys.

Provides LLM‑friendly tools to query and manipulate Strava activity, profile, segment, and route data via the Model Context Protocol.

Enables comprehensive, well‑cited research reports by elaborating questions, generating sub‑questions, performing web searches, analyzing content, and formatting findings into structured artifacts.

Provides a unified, enterprise‑ready gateway and registry that centralizes AI development tools, enforces OAuth authentication, supports dynamic tool discovery, and applies fine‑grained access control for both autonomous agents and coding assistants.

Provides SEO data retrieval via Ahrefs, exposing MCP tools for backlink analysis, keyword generation, traffic estimation, and keyword difficulty, with automated CAPTCHA solving and response caching.

Securely interfaces with the macOS Messages database via MCP, enabling LLMs to query, analyze, filter, and send iMessage or SMS communications with built‑in phone number validation, attachment handling, and group chat support.

Enables AI models to retrieve DSL data from MasterGo design files via a standalone service that runs with npx and only requires a Node.js environment.

A comprehensive collection of Model Context Protocol (MCP) servers that expose Volcengine cloud resources and third‑party services through natural‑language interfaces, enabling AI‑driven operations across compute, storage, databases, networking, security, and developer utilities.

Control Android devices through ADB commands, enabling calls, messaging, UI interaction, media handling, app management, and screen analysis for AI agents.

Provides web search and video summarization capabilities through the Model Context Protocol, enabling AI assistants like Claude to perform queries and summarizations.

Integrates AI agents with the crypto ecosystem, providing unified wallet management, swaps, cross‑chain transactions, and advanced trading tools.

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, exposing diagnostics, proof goals, hover documentation, and a suite of external search tools.