Top MCP Servers

Provides a secure sandbox environment for executing code within Docker containers, enabling AI applications to run untrusted code safely.

Inject relevant code and text from a project into Large Language Model chat interfaces via the clipboard or Model Context Protocol, using smart file selection based on .gitignore patterns and rule‑based customization.

Orchestrates multiple AI coding agents to collaboratively generate, test, and merge code based on a single goal, delivering deterministic execution, git worktree isolation, per‑agent credential scoping, and an HMAC‑chained audit trail.

A Model Context Protocol server that proxies DeepSeek's language models, enabling seamless integration with MCP‑compatible applications.

Enables large language models to control iOS simulators through natural language commands, offering full lifecycle management, app handling, UI interaction, debugging, and advanced simulation features.

Enables invocation of Dify workflows through Model Context Protocol, allowing tools to call Dify’s capabilities from any MCP‑compatible client.

Fast cross‑platform file searching leveraging the Everything SDK on Windows, Spotlight on macOS, and locate/plocate on Linux.

Provides a standardized interface for AI models to retrieve performance data, visualize creatives, and manage Meta advertising campaigns across Facebook, Instagram, and other Meta platforms.

Enables AI agents to query large‑context language models with collections of files that exceed the agent’s own context window.

Enables LLMs to interact with MongoDB databases via a standardized interface, offering schema inspection, query execution, aggregation, and write capabilities, with optional read‑only mode and smart ObjectId handling.

Control Neovim via Model Context Protocol using the official neovim/node-client library, delivering lightweight AI‑assisted code and text editing capabilities.

Secure Model Context Protocol server that enables command‑line interactions on Windows, supporting PowerShell, CMD, Git Bash and remote SSH operations.

A Python-native library that replicates Stata and R econometrics workflows, providing unified APIs, structured result objects, validation metadata, and MCP server integration for causal inference and applied statistics.

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.

Parse, view, query, edit, and export IFC, IDS, BCF, pointclouds and other AEC data directly in the browser, on a server, or in a desktop app, using a Rust‑based WASM core and WebGPU rendering.

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.