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Enables interaction with MS SQL Server databases through a conversational AI interface.
Provides a template for building Model Context Protocol (MCP) servers in Node.js/TypeScript.
Provides a server to interact with the Google Service Usage API via a Multi-Agent Conversation Protocol.
Containerizes the Salesforce MCP Server to streamline REST API integration.
Enables Large Language Models like Claude Desktop to query live SendGrid data using CData JDBC Drivers.
Implements the Model Context Protocol by integrating with GitHub and Notion to manage tasks and handle webhooks.
Provides a Multi-Agent Conversation Protocol (MCP) server for the Notion API, auto-generated from its OpenAPI specification.
Exposes Express.js application endpoints as structured tools for AI models and clients.
Orchestrates ComfyUI workflows by discovering templates, validating assets, and submitting prompts via the Model Context Protocol.
Provides comprehensive weather data from NWS public APIs, incorporating robust input validation, error handling, geocoding, and a unique weather comparison feature.
Integrates Yodlee financial data with Claude Desktop via a Gradio-based Model Context Protocol server, offering financial insights and text-to-speech audio summaries.
Enables AI agents to make REST API calls to any external service with minimal setup.
Provides essential public facility data for AI agents assisting foreign tourists in Seoul, South Korea.
Integrate with the Vybit notification platform to send personalized push notifications with custom sounds and manage notifications programmatically.
Enables AI agents and LLMs to securely connect to Spotify accounts for comprehensive playback control and queue management.
Exposes GitHub API operations as AI-ready tools for Large Language Model agents and applications.
Enables AI agents and LLMs to interact with the Nager MCP v205 API through standardized tools.
Provides comprehensive read-only access to the Teamtailor recruitment API data model.
Integrates with the Todoist API to manage projects, tasks, comments, sections, labels, and user information via a Model Context Protocol (MCP) server.
Establishes a digital identity layer for AI assistants, providing them with a consistent personal profile across all conversations.
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