Latest MCP Servers

Provides tools to search Wikidata entity and property identifiers, retrieve metadata such as labels and descriptions, and execute SPARQL queries via an MCP server.

Converts PDFs, images, audio, DOCX, XLSX, PPTX, YouTube videos, Bing search results, and generic web pages into clean Markdown text, while also allowing retrieval of existing Markdown files.

Provides realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints, enabling LLMs to bypass anti-bot measures and retrieve web content, plus conversion of PDF and HTML to Markdown for easier LLM processing.

Integrates with Google Tasks to list, read, search, create, update, and delete tasks via MCP 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.

Fetches web content and returns it in HTML, JSON, plain‑text, or Markdown formats, optionally applying custom request headers.

Provides AI-driven terminal control, filesystem search, and diff‑based file editing for Claude via Model Context Protocol.

Provides essential random generation utilities for integers, floats, weighted selections, shuffling, and secure token creation using Python's standard library.

Provides a searchable, continuously updated database of MCP servers, allowing AI assistants to discover and provision the appropriate tools via natural‑language queries.

Provides a secure interface for AI assistants to list tables, read data, and execute SQL queries on OceanBase databases via the Model Context Protocol.

Enables large language models to query ShaderToy data and generate complex GLSL shaders through MCP tools.

Provides a modern, extensible MCP server for GNURadio that enables programmatic creation, editing, and execution of SDR flowgraphs, facilitating integration with LLMs, automation frameworks, and custom clients.

Provides up-to-date football match information—including live scores, lineups, events, odds, and league metadata—accessible through natural‑language queries via MCP‑enabled clients.

Provides a Stockfish-powered chess engine accessible via MCP, enabling clients to request the best move, validate moves, retrieve legal moves, and obtain game status through SSE or stdio transports.

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

Provides a Model Context Protocol server that connects to the Databricks Genie API, enabling large language models to ask natural language questions, execute SQL queries, and interact with Genie conversational agents.

Enable generative AI capabilities for monitoring and managing WildFly servers through integrated tooling.

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 data governance orchestration for LLM pipelines via MCP integration, applying instruments such as PII detection to text streams.

Acts as a bridge between Arduino/ESP32 hardware and AI models, enabling AI-driven control of LEDs, buzzers, motors, servos, fans, relays, and sensors through the Model Context Protocol.

Provides API interfaces to query OpenStack compute, storage, network, and image resources via MCP protocol, supporting real‑time status, flexible filtering, and multiple detail levels.

Enables large language models to interact with Discord channels, allowing them to send and read messages through Discord's API while keeping user control and security.

Retrieve Bilibili user profiles, video details, and perform keyword video searches via an MCP server.

Create, manage, and publish X/Twitter posts directly through Claude chat.

Provides real-time NixOS package, configuration option, and version‑history data to AI assistants via Model Context Protocol, eliminating hallucinated responses about the Nix ecosystem.

Wanaku MCP Router connects AI-enabled applications using the Model Context Protocol (MCP).

Provides an MCP server that lets Claude and other AI agents interact with Apple Books data, exposing functions to list collections, retrieve books, fetch annotations, search highlights, and more.

Provides an embeddable integration platform that exposes Paragon ActionKit capabilities through a Model Context Protocol server, enabling AI agents to invoke SaaS services such as Google Calendar, Salesforce, and Slack.

Provides natural-language driven management and automation of TrueNAS Core storage resources via MCP, supporting user, pool, dataset, share, and snapshot operations.

Enables AI assistants and MCP clients to manage tasks, projects, areas, and tags in Things3 on macOS via a set of 25 specialized tools, providing automatic tag creation, error correction, and bulk operations.

Manage OPNsense firewalls through conversational AI, providing network configuration, device discovery, DNS filtering, HAProxy setup, and backup/restore via simple commands.

Provides a standardized interface for interacting with Ahrefs's tools and services through a unified API.