The Fantasy Premier League MCP Server provides direct access to up-to-date Fantasy Premier League (FPL) data and tools, enabling AI agents to access and process FPL information within MCP-compatible clients.

CoinMarketCap MCP is an implementation that provides a standardized interface for accessing the CoinMarketCap API. It allows developers to easily retrieve cryptocurrency market data, exchange information, and other blockchain-related metrics.

ShaderToy-MCP is an MCP server that enables Large Language Models (LLMs) to interact with the ShaderToy API, facilitating the creation of complex GLSL shaders.

Enables comprehensive interaction with the Bitrise API, allowing programmatic app management, build operations, artifact handling, webhook configuration, workspace administration, and release management through an MCP server.

Provides a lightweight server implementation of the Model Context Protocol to enable interaction between Memgraph graph database and large language models.

starwind-ui-mcp is a local Model Context Protocol (MCP) server implementation for Starwind UI, designed to enhance AI tools like Cursor, Windsurf, and Claude by providing specific functionalities for working with Starwind UI components.

Provides fast GraphQL‑based access to LeetCode problems, user profiles, and contest information for AI assistants.

server-hyperliquid is an MCP (Multi-Chain Protocol) server implementation that integrates with the Hyperliquid SDK. It provides a way to access real-time and historical exchange data from Hyperliquid, a decentralized perpetual exchange.

A community-developed Model Context Protocol (MCP) server that provides access for large language models to the Nasdaq Data Link for financial and economic datasets.

Provides a comprehensive Model Context Protocol server that integrates all Dumpling AI endpoints, enabling data extraction, web scraping, document processing, AI agent interactions, image generation, and secure execution of JavaScript or Python code via a single HTTP interface.

Provides natural‑language and programmatic access to Kibana APIs, enabling search, inspection and execution of Kibana endpoints from any MCP‑compatible client.

Provides a universal interface for AI agents to retrieve Hologres metadata and execute SQL operations directly against Hologres databases.

Provides a simple JSON document store with CRUD operations and field‑based sorting, designed for integration with Model Context Protocol servers.

Provides AI assistants access to Gyazo images via Model Context Protocol, offering searchable image resources, metadata retrieval, and upload capabilities.

A Model Context Protocol (MCP) implementation for sending notifications via Pushover.net, enabling AI agents to send instant notifications to devices.

Bridges Dune Analytics query results to AI agents, delivering CSV-formatted output for seamless downstream processing.

Dataset Viewer is an MCP server that interacts with the Hugging Face Dataset Viewer API, enabling users to browse, analyze, and manage datasets hosted on the Hugging Face Hub.

fred-mcp-server is an open-source Model Context Protocol (MCP) server that provides access to Federal Reserve Economic Data (FRED®) financial datasets. It enables applications and services to easily retrieve various economic indicators and financial data directly from FRED.

Extracts text from images, PDFs, and Office documents, performs OCR, converts documents to Markdown, and extracts structured information such as key fields and tables.

Enables large language models to execute network measurements across a globally distributed probe network through natural‑language commands.

Dappier MCP Server enables fast, free, real-time web search and access to premium data from trusted media brands, allowing users to build powerful AI agents by connecting Large Language Models (LLMs) to real-time, rights-cleared, and proprietary data sources.

APIWeaver is a FastMCP server that dynamically creates MCP servers from web API configurations. It enables seamless integration of any REST API, GraphQL endpoint, or web service into MCP-compatible tools, particularly for use with AI assistants.

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resources for client-side exploration.

MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate.

Provides an asynchronous Model Context Protocol server for accessing Microsoft SQL Server databases via FastAPI, enabling language models to inspect table schemas and execute SQL queries.

Provides a Model Context Protocol server that enables LLMs to execute queries, list directories, and retrieve metadata from YDB databases using natural‑language commands.

MCP-server-Qwen_Max is a Model Context Protocol (MCP) server implementation for the Qwen Max language model, enabling integration with applications like Claude Desktop.

GitHub Enterprise MCP is a server that provides a Model Context Protocol (MCP) interface for interacting with the GitHub Enterprise API, enabling seamless management of repositories, issues, pull requests, and more, particularly within AI development environments like Cursor.

Qiniu MCP Server is a Model Context Protocol (MCP) Server built on Qiniu Cloud products, enabling AI large model clients to access Qiniu Cloud Storage and intelligent multimedia services.

mcp-vertexai-search is a Multi-Cloud Platform (MCP) server that enables document searching using Google Cloud's Vertex AI Search. It leverages Gemini models with Vertex AI grounding to provide accurate and relevant search results from your private data.

A production-ready MCP server providing LLMs with essential random generation abilities, built entirely on Python's standard library.