Top MCP Servers

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.

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.

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.

Provides a collection of Model Context Protocol servers built with Quarkus, enabling rapid deployment of database access, JVM inspection, filesystem serving, JavaFX canvas, Kubernetes interaction, container management, and Wolfram Alpha search via simple JBang commands.