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Implements a Model Context Protocol (MCP) client using the OpenAI API.
Wraps Cisco Catalyst Center APIs, enabling their use as tools within AI agents via the Model Context Protocol (MCP).
Enables language models to perform calculations and interact with external systems through a defined protocol.
Provides a PostgreSQL database query service for retrieving FAQ and system menu data.
Provides a starting point for building custom Model Context Protocol (MCP) servers.
Provides a Model Context Protocol server for securely querying PostgreSQL databases with robust tools for data retrieval and schema inspection.
Establishes a Model Context Protocol server on Cloudflare Workers, providing secure OAuth-enabled access for AI clients to custom tools.
Facilitates real-time communication by providing programmatic access to Rongcloud Instant Messaging services through the MCP protocol.
Manages server-side operations for a shopping cart application.
Provides a foundational Model Context Protocol server for demonstrating custom tools, resources, and prompts.
Connects AI assistants to your Hevy workout data for natural language interactions.
Extracts and structures Ant Design v4 component documentation into JSON for AI agent analysis.
Facilitates robust interaction with the Marinade Finance ecosystem on Solana, enabling efficient staking and mSOL balance management.
Connects large language models to the RescueGroups.org API, enabling searches for adoptable pets and animal rescue organizations.
Empowers AI assistants with comprehensive read and write access to Twitter/X, leveraging cookie-based authentication without requiring traditional API keys.
Connects Claude Desktop to FHIRfly's comprehensive healthcare reference data APIs, enabling real-time information lookups.
Provides a Model Context Protocol server to programmatically manage and interact with Google Docs and Google Drive content.
Integrates the PAL MCP Server into the Zed editor, enabling AI context server functionality.
Exposes MiniZinc constraint solving capabilities to AI agents through the Model Context Protocol.
Enables local discovery, registration, and management of AI agents and services through a JavaScript-based MCP server.
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