Top MCP Servers

Provides a Model Context Protocol server that connects to the Databricks API, enabling LLMs to execute SQL queries, list jobs, and retrieve detailed job information.

Delivers curated positive and uplifting news stories by fetching articles from NewsAPI and ranking them with a Cohere language model based on positive sentiment.

Provides standardized access to CoinMarketCap data through a Model Context Protocol server, enabling retrieval of cryptocurrency market metrics, exchange information, OHLCV data, and related blockchain statistics.

Track flights in real time, retrieve arrival and departure times, view airport status, and monitor emergency situations using Flightradar24 data via a Model Context Protocol server.

Add human approvals to AI agents and agentic workflows with a managed asynchronous approval UI, built‑in authentication, webhooks, notifications, team features, and an evolving training dataset.

Search and retrieve over 200,000 icons from more than 150 collections, usable via a command‑line interface or as an MCP server for AI coding assistants.

Provides tools for AI assistants to retrieve book and author information from the Open Library API, returning structured data such as titles, authors, cover images, and detailed metadata.

Dynamically creates MCP servers from web API configurations, enabling seamless integration of REST, GraphQL, or other web services into AI assistant tools.

Enables context‑aware task and project operations on the TickTick platform through the Model Context Protocol, supporting OAuth2 authentication and full CRUD capabilities.

Provides real-time Dutch railway travel information—including departures, arrivals, journey planning, pricing, and station facilities—through an MCP server that Claude can query.

Send ntfy push notifications whenever an AI assistant finishes a task, allowing you to stay informed without interrupting your workflow.

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

Provides auto‑synced SDK versions, documentation, and example notebooks as context files (llms.txt and llms-full.txt) for seamless integration with LLMs and AI agents, distributed via MCP.

Provides a unified interface to manage multiple MCP servers, offering an AI playground, RAG capabilities, real‑time notifications, and support for both STDIO and Streamable HTTP transport modes.

Provides tools to interact with Gitee's API, enabling AI assistants to manage repositories, issues, pull requests, and notifications.

Exposes GraphQL schema information to LLMs through specialized tools, enabling exploration of queries, mutations, subscriptions, types, and searchable patterns.

Provides a TypeScript‑based MCP server that enables seamless interaction with ArangoDB through a set of tools for querying, inserting, updating, removing, backing up data, and managing collections.

Provides JSON-RPC functionality via OpenRPC, exposing rpc_call and rpc_discover utilities for interacting with MCP servers through stdio.

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.

Enables Large Language Model clients to read, search, create, and update pages on any MediaWiki wiki through a set of defined tools.

Provides a Model Context Protocol (MCP) server that enables MCP‑compatible clients to access, search, and manage Kibana APIs using natural language or programmatic requests.

Provides samples, tools, and resources for building and integrating Model Context Protocol servers on Azure across C#, Python, Java, and JavaScript.

An implementation of the Model Context Protocol for the World Bank open data API

Provides flight search capabilities via natural language interfaces using the Amadeus Flight Offers Search API and the Model Context Protocol.

Enables AI agents to manage RabbitMQ brokers and interact with queues/messages through Model Context Protocol tools, wrapping admin APIs and providing Pika‑based message operations.

Enables AI assistants to list, view, trigger, cancel, and rerun GitHub Actions workflows through a Model Context Protocol server.

Enables AI platforms to run YepCode processes, execute code, manage environment variables, and handle storage directly through the Model Context Protocol, turning workflows into AI‑ready tools.

Enables agents to execute stock and cryptocurrency trades, query linked brokerage accounts, and retrieve market data through plain‑English requests over the MCP protocol.

Enables LLMs to query and analyze Honeycomb observability data across multiple environments via the Model Context Protocol, providing real‑time insights into datasets, SLOs, triggers, and more.

Provides a Model Context Protocol server that enables AI assistants to interact with the esa.io knowledge base, allowing reading, creating, updating, and managing posts, comments, tags, categories, and attachments via standardized tools.

Provides RDS service operations via OpenAPI, exposing tools for managing instances, querying metrics, and executing read‑only SQL through an MCP server.

Connects to HashiCorp Nomad and exposes Model Context Protocol endpoints for job, deployment, node, allocation, variable, volume, ACL, Sentinel, and cluster management via a Go‑based server.