An MCP server that enables human-machine interaction via Discord, allowing AI assistants to ask humans for input or judgment when needed.

Changesets is a build tool for managing versions and releases in multi - package or single - package codebases, automatically generated by @changesets/cli, providing documentation and support for frequently asked questions.

An MCP service that prevents AI hallucinations. When AI is uncertain, it can ask humans for help instead of being over - confident, improving development efficiency through a simple Q&A mechanism.

An AI service project that always returns the cute Japanese reply 'きつねかわいい！！！' when users ask questions about foxes.

An MCP server that provides access to Astro documentation for AI agents, supporting document retrieval and frequently asked questions

Changesets is a build tool for managing versions and releases of multi - package or single - package codebases. It is automatically generated by @changesets/cli and provides documentation and support for frequently asked questions.

An advanced Python library for building and managing an autonomous agent network that collaboratively solves complex tasks. It is designed based on the OpenAPI standard and provides a concise type - safe interface and team - collaboration features.

This project is a server that implements the Model Context Protocol (MCP) specification. It serves as a bridge for MCP clients (such as Claude Desktop) to interact with Google's Gemini AI models through a standardized interface. It supports multiple Gemini models and function calls, provides tools such as single - question asking, multi - round conversations, and function calls, and can be deployed locally or via Docker.

The MCP Perplexity Server is a server that provides an API interface for asking questions to the model through the Perplexity API. It supports rapid Docker deployment and local Node.js operation, and multiple parameters can be configured.

A simple MCP server that returns 'Party time' when asked about the time