Latest MCP Servers

Enables Claude Desktop to perform Neo4j graph database operations using natural language commands.

Fetches HTML or markdown from bot‑protected websites, delivering plain‑text content that AI assistants can process.

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.

Provides a bridge between LLM applications and the Unleash feature flag system, enabling AI apps to check, create, update, and list feature flags via the Model Context Protocol.

Provides a Model Context Protocol server that wraps the Discogs API, enabling music catalog operations, search, and collection management through MCP clients.

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

Provides a Model Context Protocol server that enables AI assistants to control Fibaro HC3 smart‑home devices, scenes, and rooms through a set of predefined tools.

Provides tools for AI agents to query Azure Edge Wiki content through MCP‑compliant endpoints.

Enables AI agents to control web browsers via the browser-use protocol, supporting both SSE and stdio transports, with VNC streaming and asynchronous task execution.

Verify that any MCP server is running the intended and untampered code via hardware attestation.

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.

Execute remote SSH commands and transfer files through a standardized MCP interface while keeping credentials isolated and secure.

Provides structured FDIC BankFind data through an MCP server, allowing AI tools and workflows to query U.S. bank and institution information via standardized endpoints.

Manage Docker containers, images, networks, and volumes using natural language commands via an MCP server.

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

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

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.

Provides access to Alpha Vantage stock market data via an MCP server, supporting stdio and HTTP streaming modes with optional OAuth 2.1 authentication.

Provides read and search capabilities for Markdown notes in an Obsidian vault for Claude Desktop and other MCP clients.

Provides a universal gateway that lets MCP‑compatible clients explore and query MySQL, PostgreSQL, SQL Server, MariaDB, and SQLite databases through a single standardized interface.

Enables AI assistants to retrieve, create, and manage HubSpot CRM data with built‑in FAISS vector storage and caching to improve response times and overcome API limits.

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

Provides a Model Context Protocol server enabling AI‑driven interaction with BNB Chain and other EVM‑compatible networks, offering block queries, contract calls, token transfers, NFT management, and Greenfield file operations.

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

Performs WHOIS lookups for domains, IP addresses, top‑level domains, and autonomous system numbers, delivering registration details directly to AI agents.

Enables AI assistants to perform deep, semantic code search, repository analysis, and package discovery across public and private GitHub repositories, delivering structured, AI‑optimized context for development workflows.

Provides read‑only access to MySQL databases for large language models, allowing schema inspection and safe execution of SQL queries.

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

Enables persistent, local‑first knowledge management by allowing LLMs to read and write Markdown files during natural conversations, building a traversable knowledge graph that stays under the user’s control.

Run generated Python code to query and manage AWS resources through boto3, with sandboxed execution and containerization for safe interaction.

Enables Claude to discover and call any API endpoint via semantic search, chunking OpenAPI specifications and providing instant request execution for private APIs.

Enables AI agents to fully control remote macOS machines via screen sharing, using a lightweight Docker‑based MCP server that requires no additional API keys or software installation on the target Mac.