Explore our complete collection of MCP servers to connect AI to your favorite tools.
Collects, processes, and analyzes Bing search data to extract insights and patterns.
Provides remote access to BluestoneApps coding standards and code examples via the Model Context Protocol (MCP) over HTTP.
Manages Qdrant vector database collections and performs semantic searches using various embedding services.
Interfaces with the Beatport Developer API using the Model Context Protocol.
Provides a simple API for interacting with MySQL databases, including executing queries, managing table structures, and manipulating data.
Queries NASA APIs and provides structured data for astronomy pictures, Mars rover photos, Earth satellite images, near-Earth objects, and space weather.
Enables interaction with the Louvre museum's digital collection via a Model Context Protocol (MCP) server.
Enables IDEs to safely interact with Supabase databases for SQL query execution, database management, and Management API access.
Provides an interactive interface for managing Kubernetes resources, retrieving logs, and formatting logs for export.
Chains MCP servers and Ruby code to create custom solutions.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Provides a custom server with tools for generating prompts, issuing commands, listing repositories, and running tests.
Connects Large Language Models to MongoDB databases for CRUD operations using natural language.
Connects AI tools and IDEs to your product documentation through a hosted Retrieval-Augmented Generation (RAG) layer.
Integrates OpenWeatherMap APIs into Go applications and provides an LLM-friendly MCP server for weather data.
Curates a collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.
Provides direct access to essential on-chain Bitcoin data, tracking Unspent Transaction Outputs (UTXO) and block statistics.
Executes user-requested file and directory operations within a specialized agent environment.
Provides an API for real-time game state inspection and manipulation within the Schedule I game via TCP/IP as a MelonLoader mod.
Exposes Linux tracing and debugging capabilities like eBPF, bpftrace, perf, ftrace, and syscall tracing to LLMs and autonomous agents.
Performs efficient, concurrent binary analysis without a graphical interface using Python workers.
Automates AI-powered local code reviews, secret detection, and commit message generation before code is pushed.
Provides a full-stack AI agent platform integrating Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and multi-LLM capabilities.
Manage, organize, and interact with files and folders within Google Drive through a programmatic interface.
Combines Google search results with full page content extraction using Mozilla Readability, supporting web, news, and image searches with domain filtering.
Establishes a privacy-first universal memory and profile layer for AI agents, integrating personal and team context across various AI tools.
Provides semantic knowledge graph and 16 development tools for AI coding agents to optimize token usage and improve code analysis.
Integrates the OpenAI Codex CLI into an MCP server for structured code reviews, inline questions, and custom prompt execution.
Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.
Equips AI coding assistants with live, verified Android knowledge, ensuring they build from official sources and avoid hallucinations.
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