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Why this server?
Provides a foundation for creating custom Model Context Protocol servers that can integrate with AI systems, and thus act as an MCP client.
Why this server?
A Model Context Protocol (MCP) server that provides tools to interact with Folderr's API, specifically for managing and communicating with Folderr Assistants, thereby acting as an MCP client.
Why this server?
A Model Context Protocol server for integrating AI assistants like Claude Desktop with the Stellar blockchain, which can be considered an MCP client.
Why this server?
A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources and get course information. The AI agent is the MCP client.
Why this server?
This server facilitates the invocation of AI models from providers like Anthropic and OpenAI, enabling users to manage and configure large language model interactions, making it an MCP client.
Why this server?
A server implementation that enables natural language interactions with UniFi network devices for AI agents like Goose and Claude, positioning these agents as MCP clients.
Why this server?
A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses. This server functions as an MCP client.
Why this server?
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor, acting as an MCP client.
Why this server?
A client-server system using Model Context Protocol that allows users to query a SQLite database of fictional car data. The system acts as both server and client.