Explore our complete collection of MCP servers to connect AI to your favorite tools.
Demonstrates GitHub interaction capabilities directly from Claude.
Facilitates the setup of an MCP server.
Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.
Provides an MCP server for seamless integration of Red Hat Errata Tool data with AI assistants.
Enables AI assistants to perform web automation tasks through browser control.
Simulates and exposes device service logs as Model Context Protocol (MCP) tools over an HTTP JSON API.
Provides comprehensive access to ESPN's hidden sports APIs via a modern Model Context Protocol server, offering real-time data and advanced filtering capabilities.
Enables interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Provides AI agents with a verified 'Hardware Sandbox' for C++, Rust, and Go, revealing the low-level essence of high-level code through autonomous assembly analysis, security hardening audits, and polyglot cross-compilation.
Provides a modular framework for building modern conversational AI systems, compatible with standard transformer backbones and production deployment.
Establishes a structured, secure, and extensible architecture for exposing Python tools to Large Language Models (LLMs) and agent systems.
Provides a local-first RAG + MCP memory layer designed for AI coding assistants, enabling enhanced project navigation and knowledge recall.
Enables AI agents to interact with the Redmine API for comprehensive project, issue, and time management.
Provides LLM-friendly APIs to retrieve and analyze data from Linux SOS reports.
Integrates Datadog logs, monitors, metrics, incidents, and dashboards for seamless AI assistance and enhanced observability.
Enables AI agents to engage in provably fair dice, coinflip, and roulette gambling through an MCP-compatible casino.
Provides a comprehensive reference implementation of the Model Context Protocol, demonstrating all its features.
Integrates Agda's interactive features into MCP clients for type checking, definition lookup, and proof assistance.
Manage Google Cloud Scheduler jobs by creating, listing, updating, pausing, resuming, and deleting scheduled tasks via a Model Context Protocol (MCP) interface.
Executes remote endpoints as tools, dynamically syncing their definitions from a PostgreSQL database.
Access comprehensive United States Patent and Trademark Office data, including patents, trademarks, assignments, and PTAB decisions through a unified interface.
Connects to Meta Graph API, providing a unified interface for managing advertising campaigns, media assets, and social media insights across Meta platforms.
Accesses Akamai Reporting API v2 to generate traffic reports and forecasts via natural language.
Streamline interactions with Alibaba Cloud MaxCompute (ODPS) by executing SQL queries, listing tables, and retrieving schemas programmatically.
Provides a C++ implementation of a Model Context Protocol server with a modular, pluggable architecture for dynamic functionality extension.
Implement a high-performance, full-featured Model Context Protocol server using C++20 and the Seastar asynchronous framework.
Processes audio for comprehensive analysis, including transcription, diarization, prosody, sentiment, and speech pattern detection.
Structures, maps, and manages human skills, tracking learning and development alongside integrated AI capabilities.
Enables AI assistants and tools to safely execute bash commands in an isolated, sandboxed environment.
Converts files between over 130 different character encodings, directly overwriting the original content.
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