jebmcp is a lightweight tool for managing and processing batch jobs in cloud environments. It simplifies task scheduling and monitoring, making it easier for developers to optimize workflows and improve productivity.
This MCP project works using the Brave Search API. You can integrate the project with any AI API of your choice.
Python MCP Server template based off the official python-sdk FastMCP implementation, uv-based.
an open source, a productivity enhancement platform for small to medium-sized organizations that combines the open-source AI agent 'Goose' with FastAPI to automate workflows with minimal effort.
A server implementing Anthropic’s Model Context Protocol (MCP), allowing Claude Desktop to create and manage RunLoop dev environments.
MCP for Discord is a web-based system for automated moderation, real-time control, and enhanced safety.
A flexible foundation AI system for creating A2A-compatible autonomous AI agents that can collaborate, reason, and execute complex tasks through standardized agent-to-agent communication protocols.
MCP and Langchain implementation to create a 15 minutes meeting meeting with various city departments
This is a large language model chat client built with Rust and Slint GUI, compatible with OpenAI's API.(这是一个基于Rust和Slint GUI构建的大语言模型聊天客户端,兼容OpenAI的API)
An intro to MCP: an MCP server with a knowledge base tool containerized with Docker and connected to a client-side python application using SSE





























































































