Top MCP Servers

Enables AI assistants to run read‑only ClickHouse queries, list databases and tables, and execute embedded chDB queries through an MCP interface.

Provides tools to scrape, extract structured data, crawl webpages, and access general‑purpose browser agents such as OpenAI CUA, Anthropic Claude Computer Use, and lightweight Browser Use via a Model Context Protocol server.

Enables AI assistants to invoke any Apify Actor as a tool, providing real‑time web scraping, data extraction, and automation via the Model Context Protocol.

Aggregates multiple MCP resource servers and serves them via a single HTTP endpoint, supporting SSE and HTTP streaming transports.

Provides a Model Context Protocol server that exposes a rich set of dbt‑related tools—SQL execution, semantic‑layer queries, discovery APIs, dbt CLI commands, admin operations, code generation, lineage analysis, and product documentation retrieval—so AI agents can safely interact with dbt projects and platforms.

Enables AI assistants to read, create, edit, and manage notes and tags within an Obsidian vault, providing searchable, writable access to vault contents.

Offers an MCP server that lets LLMs, agents, and IDEs run Semgrep scans to detect security vulnerabilities in source code.

Provides an all-in-one sandbox environment that combines Browser, Shell, File operations, MCP services, and VSCode Server inside a single Docker container, enabling unified, secure execution for AI agents and developers.

Enables adversary emulation for AI agents, LLM applications, and MCP servers, letting teams test their AI systems against realistic attack scenarios.

Provides a client SDK for building AI‑native applications on Baidu Cloud, enabling model calls, component orchestration, knowledge‑base management, workflow composition, monitoring, and flexible deployment options.

Provides secure, programmatic access to the local filesystem via the Model Context Protocol, enabling read, write, copy, move, delete, and search operations with built‑in path validation and MIME type detection.

Provides a remote Model Context Protocol service that proxies Sentry's API, enabling AI‑powered development tools to query, search, and act on Sentry data directly from code editors.

Control Spotify playback, search the catalog, and manage playlists directly from LLM interactions.

Provides a local service that lets agents read, write, search, and surgically edit notes, tags, and frontmatter inside an Obsidian vault through the Model Context Protocol tools.

Provides a bridge between MCP‑compatible clients and Google Sheets/Drive APIs, enabling creation, reading, updating, sharing, and batch operations on spreadsheets through a defined set of tools.

Manage coding preferences by storing, retrieving, and semantically searching code snippets, patterns, and documentation through an MCP‑based SSE server powered by Mem0.

A versatile tool that enables interactive data exploration through prompts, CSV loading, and script execution.

Provides a semantic engine that lets MCP clients and AI agents query enterprise data with contextual understanding, precise calculations, and built‑in governance.

Provides access to income statements, balance sheets, cash flow statements, stock prices, market news, and cryptocurrency data through MCP tools for AI assistants.

Provides AI assistants with instant, natural‑language access to Apple Developer Documentation, frameworks, Swift/Objective‑C APIs, WWDC video transcripts, and sample code across iOS, macOS, watchOS, tvOS, and visionOS.

Ingest Chinese content from platforms such as Douyin, Bilibili, Xiaohongshu, WeChat Official Accounts, X/Twitter, and podcasts, automatically transcribe videos, enrich with summaries, tags, and insights, and store the result as structured Markdown in an Obsidian vault with an MCP server for agent‑wide retrieval.

Provides a Model Context Protocol server that lets AI models execute commands, read output, and send control characters in the current iTerm session, enabling seamless REPL and CLI assistance.

Effortlessly create Model Context Protocol servers for exposing AI tools, resources, and prompts within NestJS applications.

Provides a Model Context Protocol server that exposes Home Assistant functionality through a comprehensive REST and SSE API, enabling natural‑language control of smart‑home devices.

Provides intelligent code indexing, search, and analysis for large language models to navigate codebases efficiently.

Conversational Coding with Voice Mode MCP

A local‑first, agent‑native control plane that lets large language models drive ComfyUI: generate images, video and audio, author and edit workflows in natural language, manage models and custom nodes, and run the full ComfyUI graph from any LLM provider.

Provides a full‑featured Telegram integration for MCP‑compatible clients, enabling programmatic access to chats, messages, contacts, profile management, and group administration.

Interact with Neon Postgres databases using natural language commands through the Model Context Protocol, enabling conversational database creation, migration, and query execution.

Provides a local, credential‑free CLI and MCP server that builds a SQLite‑backed symbol graph for 28 languages, lets AI agents query code structure, enforce change‑safety gates, and emit tamper‑evident ChangeEvidence packets without any network egress or API keys.

Convert documents between markdown, HTML, PDF, DOCX, RST, LaTeX, EPUB, IPYNB, ODT, and plain text using Pandoc through an MCP server, preserving formatting and structure.

Provides a Home Assistant add‑on that exposes a safe REST API, allowing AI‑enabled IDEs such as Cursor, VS Code, Claude, and any MCP‑compatible editor to analyze, create, and deploy automations, Lovelace dashboards, themes, HACS integrations and more using natural‑language commands.