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Provides an example implementation of a Message Communication Protocol (MCP) server using the FastMCP framework.
Facilitates multi-agent conversations with the OpenStates API by exposing its functionalities as an auto-generated MCP server.
Establishes a Model Context Protocol (MCP) server on Cloudflare Workers with bearer token authentication.
Provides an MCP server environment for real-time event streaming and callable tools, designed to facilitate structured data processing for AI models.
Provides virtual try-on capabilities via a FastMCP server that integrates with the Replicate API.
Integrates AppsFlyer analytics data with AI assistants via a Model Context Protocol server.
Automates publishing new Zenn articles from GitHub repositories using GitHub Actions.
Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.
Connects Cursor AI with Strava activity data using a Model Context Protocol server.
Manages Todoist tasks, projects, labels, and productivity workflows through an MCP server.
Facilitates seamless integration with Payware APIs in a sandbox environment, providing essential tools for authentication, transaction management, and utility functions.
Obtain collective insights from multiple frontier LLMs simultaneously, featuring peer review and synthesis for complex queries.
Empowers AI agents with searchable access to any markdown content through discoverable resources and an embedded full-text search engine.
Provides file content and metadata to large language models for enhanced understanding.
Manages a Retrieval-Augmented Generation (RAG) knowledge base system, providing MCP interfaces for large language models and a Tkinter graphical user interface.
Converts natural-language math prompts into validated Desmos-ready graph payloads for AI agents.
Facilitates interaction with OASIS, OpenSERV, and STAR platforms through a unified Model Context Protocol server.
Provides reference implementations for the Model Context Protocol, demonstrating how to enable Large Language Models with secure, controlled access to tools and data sources.
Integrates the Valenbisi bike-share system with AI assistants, enabling natural language queries for bike availability and unlocking.
Provides a standardized interface to the Linear GraphQL API, enabling OAuth-based access.
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