Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables xPilot to interface with Language Model Models by implementing Model Context Protocol (MCP) servers.
Interfaces with the AtherOS knowledge base via the Model Context Protocol (MCP) to create chat sessions and send queries.
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Kickstart development of an MCP server using Express with Server-Sent Events (SSE) in TypeScript.
Generates images using OpenAI's DALL-E API via the Model Control Protocol (MCP).
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Demonstrates Model Context Protocol (MCP) with an e-commerce order management system and AI-powered chat.
Manages Matomo Analytics instances through a Model Context Protocol interface, providing programmatic control over sites, users, goals, and analytics reports.
Provides a Model Context Protocol (MCP) server for interacting with the Zoom API.
Provides real-time information and trip planning for the Washington, DC Metro system through natural language queries.
Routes queries by intent to document processing, weather services, or general chat, enabling modular, observable AI workflows with LangGraph, LangChain, ChromaDB, and LangSmith.
Integrates Tangled.org, a Git collaboration platform built on AT Protocol, with various MCP clients.
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.
Parses over 36 document file formats, extracting text, metadata, and images with advanced chunking and token optimization for AI models like Claude.
Establishes an open marketplace where AI agents can discover, undertake, and get compensated for various tasks.
Integrate Money S3 accounting data, including invoices, contacts, and payroll, with any MCP-compatible AI client via GraphQL.
Automate Microsoft PowerPoint presentations programmatically with 105 powerful tools for slides, shapes, charts, and more, leveraging Windows COM.
Provides a comprehensive suite of code quality checks for AI agents, covering style, naming conventions, complexity, dead code, and import analysis.
Acquires GitHub Copilot utilization metrics across enterprise, organization, and team levels.
Provides a comprehensive suite of web accessibility analysis tools for AI agents, covering alt text, heading structure, color contrast, ARIA, and form compliance.
Provides comprehensive internationalization and localization capabilities for AI agents and development workflows.
Streamline the creation of test cases, mock data, API responses, and test assertions for AI agents and general software development.
Equips local LLMs with web browsing capabilities through a real Google Chrome instance, ensuring anti-detection and persistent user sessions.
Delivers regulatory change intelligence across 13 US federal data sources for direct AI agent querying.
Detects beneficial ownership and analyzes corporate opacity by investigating entities across international registries and sanctions watchlists.
Gathers and analyzes comprehensive competitor intelligence, tracks pricing, and monitors market activities.
Provides sommelier-grade wine pairing intelligence to AI assistants for ingredients, dishes, and recipes.
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