FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context 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.

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 Inoreader MCP integration project provides RSS subscription management functions for Claude Desktop, supporting article browsing, searching, summary generation, and intelligent analysis.

A low-latency RAG service based on the MCP protocol, supporting local knowledge retrieval and intelligent summaries, providing dual-mode retrieval and a modular architecture

Intelligent transcription processing MCP server that provides text repair, formatting, and summary generation functions

An automatic merge request summary generation tool based on the MCP protocol. It intelligently categorizes changes by analyzing Git commit history and generates structured summaries, supporting Markdown and JSON output formats.