Top MCP Servers

Provides a Node.js server that implements the Model Context Protocol to expose Mapbox geospatial APIs such as geocoding, POI search, routing, travel‑time matrix, isochrones, and static map images for AI agents and applications.

Provides Claude with direct access to SQLite, SQL Server, PostgreSQL, and MySQL databases through an MCP server.

Enables Burp Suite to communicate with AI clients via the Model Context Protocol, providing an MCP server and bundled stdio proxy.

Provides document management and AI-powered semantic search for storing, retrieving, and querying text, markdown, and PDF files locally without external databases.

Manages Telegram dialogs, messages, drafts, and read statuses via the Model Context Protocol, enabling AI assistants to query and interact with Telegram accounts.

Provides local image processing capabilities for AI assistants, enabling cropping, resizing, background removal, OCR, object detection, drawing, and more without sending images to external servers.

Cross‑platform desktop interface for interacting with multiple LLM backends via MCP, supporting dynamic configuration, multi‑client management, and reusable UI for both desktop and web environments.

Enable AI assistants to query and control Home Assistant entities, retrieve summaries, manage automations, and conduct guided conversations using lean JSON responses.

Expose GraphQL operations as MCP tools, enabling AI models to access and orchestrate APIs running with Apollo.

Enables AI assistants to interact with Firebase services—including Firestore, Storage, and Authentication—through an MCP server.

Provides unified access to multiple search engines, AI response tools, and content processing services through a single Model Context Protocol server.

Provides Elasticsearch and OpenSearch interaction via Model Context Protocol, enabling document search, index management, cluster monitoring, and alias operations.

Upload, edit, search, and generate videos by leveraging LLM capabilities together with Video Jungle's media library.

Self‑hosted Claude Code workspace with multi‑provider routing, sandboxed execution, and a full in‑browser IDE.

Provides a self‑hosted Claude Code workspace that integrates multi‑provider routing, sandboxed code execution, and a full web‑based IDE.

Provides an MCP backend service built with Python and FastAPI to interact with Apache Doris databases, enabling natural language to SQL conversion, query execution, metadata extraction, and comprehensive enterprise data governance.

Run AI-generated Python code securely in persistent, stateful sandboxes that can stay active indefinitely.

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.

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.

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 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.