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Provides structured access to Sleeper fantasy sports data for AI integration via the Machine Context Protocol.
Enables bots to send JavaScript scripts directly to Adobe Illustrator and retrieve results.
Provides an MCP server for managing n8n workflows, enabling AI agents to interact with the n8n API for automation and control.
Exposes Model Context Protocol tools for interacting with local Ollama models.
Empower AI assistants with secure read/write access to your Google Workspace APIs, including Sheets, Calendar, Gmail, Tasks, and Drive.
Enables Claude Desktop and GitHub Copilot to interact with and control native macOS applications like Spotify, Apple Music, Notes, Calendar, FaceTime, and Contacts.
Provides a Multi-Agent Conversation Protocol server for college basketball statistics by integrating with SportsData.io's API.
Establishes an extensible personal server to seamlessly integrate with Claude Desktop, enabling voice-controlled management of tasks, notes, and local files.
Illustrates configuring Gilhari for one-to-many JSON object relationships using BYREFERENCE semantics within a RESTful microservice.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
Manages Bybit trading operations through a Node.js-based Model Context Protocol server.
Enables AI assistants to seamlessly interact with Raworc's agent runtime platform via the Model Context Protocol.
Integrates Claude with a Model Context Protocol (MCP) server for accessing Microsoft Graph API.
Retrieves detailed World of Warships vessel data from the Wargaming.net API, offering comprehensive statistics and comparison capabilities.
Empowers AI assistants with extensive VS Code integration and development workflow automation through 29 specialized tools.
Facilitates Git repository management through the Model Context Protocol.
Enables AI agents to establish and manage persistent SSH sessions with remote hosts.
Provides a Model Control Protocol (MCP) server implementation demonstrating various AI assistant tools and resources.
Provides a Python starter project for building a Model Context Protocol (MCP) server.
Provides comprehensive CRUD operations and schema management for SQLite databases, enabling interaction with multiple database files through a standardized protocol.
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