This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

quiet - shell is an MCP server that reduces the context consumption of AI agents by intelligently filtering shell command output, focusing on displaying errors, failures, and summary information, and improving development efficiency.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting log search, summary generation, and cross-service correlation.

Zotero MCP is a tool that connects the Zotero research library with AI assistants such as Claude. It realizes functions such as paper search, summary generation, citation analysis, and PDF annotation extraction through the Model Context Protocol.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting functions such as log search, summary generation, and error pattern recognition.

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

The SlimContext MCP server is an AI chat history compression tool based on the SlimContext library, providing two compression strategies for clients through the Model Context Protocol: token - based trimming compression and AI - driven intelligent summary compression.

This project is a GitHub MCP server based on FastAPI, providing API interfaces for interacting with GitHub, including functions such as getting user information, managing repositories, creating issues, etc., and supporting AI-assisted issue summary generation.

An MCP service that transforms YouTube into a queryable knowledge source, providing functions such as video search, detail retrieval, and content analysis, and supporting advanced operations such as summary generation and learning path planning through AI.