Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables Large Language Models to search and reference Jewish texts through a standardized interface.
Enables AI agents to establish persistent, interactive R sessions for stateful data analysis workflows.
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and application performance monitoring.
Connects MCP-compatible clients to Onyx AI knowledge bases, enabling semantic search and chat capabilities.
Retrieves user geolocation information and integrates it with large language models.
Connects a Large Language Model (LLM) to the Fitbit API, enabling data retrieval via Model Context Protocol (MCP).
Implements a Model Context Protocol server for querying and analyzing healthcare data stored in the OMOP Common Data Model.
Provides AI assistants with production-ready static code analysis capabilities using Joern's Code Property Graph technology via a Model Context Protocol server.
Aggregates documentation from GitHub repositories or URLs into a single file, optimized for use with Large Language Models (LLMs).
Streamlines the UI/UX design workflow from inspiration gathering to development handoff using AI-powered automation.
Provides a user interface for interacting with Large Language Models through tool-based capabilities using the Model Context Protocol (MCP) Kit.
Streams real-time Binance market data via WebSockets.
Executes Nuclei security scans via the Model Control Protocol (MCP) for convenient vulnerability assessment.
Provides integrated control, status monitoring, and profile management capabilities for various LG ThinQ devices.
Converts PDF files and URLs into structured Markdown format.
Integrates Zoekt's code search engine, providing comprehensive code retrieval capabilities for AI assistants.
Enables AI agents to query information about Ruby gem dependencies in a project's Gemfile, including source code and metadata.
Provides enhanced file operation capabilities with streaming, patching, and change tracking support.
Enables WebSocket-based tool execution support for the SillyTavern chat application.
Provides a comprehensive Python client library and Model Context Protocol (MCP) server for Microsoft Dynamics 365 Finance & Operations, enabling streamlined access to OData endpoints, metadata, labels, and AI assistant integration.
Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo through the Model Context Protocol.
Enables AI assistants to interact directly with the microCMS content management system.
Develops and orchestrates large language model (LLM)-based HTTP and Model Context Protocol (MCP) services with ease.
Equips AI coding assistants with deep code intelligence, enhancing contextual understanding and significantly reducing token usage.
Retrieves League of Legends data for AI assistants via natural language queries using the Riot Games API.
Provides compressed MySQL database schema information via a Model Context Protocol (MCP) server.
Wrap MCP stdio servers with a WebSocket for use with kibitz.
Connects to various lead generation applications to facilitate lead prospecting and management.
Provides real-time access to decentralized exchange (DEX) pair data, token information, and market statistics from the DexScreener API.
Provides structured access to curated medical knowledge-bases for the Indian healthcare context, enhancing LLM responses with accurate information.
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