A structured thinking server based on the MCP protocol that helps break down complex problems and generate summaries by defining thinking stages

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.

The MCP server of Fireflies.ai provides functions for retrieving, searching, and generating summaries of meeting transcripts

An MCP server based on FastAPI that automatically fetches, summarizes, and pushes Reddit content to Slack. The system uses Azure OpenAI to generate summaries of posts from selected sub - reddits, organizes them into PDF reports, and shares them with the team.

A YouTube API bridging server based on the MCP protocol, used for AI assistants to obtain video captions and generate summaries

A curated list of Solana Model Context Protocol (MCP) servers and related resources, including various functional implementations such as wallet analysis, token trading, and forum summaries, supporting standardized interactions between AI agents and the Solana blockchain.

A Python - based MCP interface for interacting with the Bear note - taking app, providing functions such as getting note lists, filtering by tags, viewing content summaries, and deleting notes.

A tool for analyzing and simplifying n8n workflow JSON files, extracting key information to generate clear summaries and helping Claude understand complex workflows.

The MCP Medium Accelerator is a server tool that allows users to extract the latest article links by entering a Medium article archive link, generate article summaries, and store them locally for subsequent queries. It supports integration with LLMs such as Claude Desktop.

A server that provides MCP services for gitingest, supporting fast retrieval of GitHub repository information, including repository summaries, directory structures, and file contents.

An MCP server project that provides standardized content analysis templates for meeting analysis, meeting summaries, and converting webinars into blog articles.

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

The ChatterBox MCP Server is a model context protocol service that enables AI assistants to join online meetings (Zoom, Google Meet, Teams), capture meeting transcripts and recordings, and generate meeting summaries.

A YouTube video summarization tool based on the MCP protocol that can extract video titles, descriptions, and subtitles, and provide structured data for Claude to generate video summaries.

A lightweight MCP server for managing session summaries and memos of LLMs (such as Claude), providing local file system storage, and supporting session history version tracking and retrieval functions.

This project automatically collects arXiv papers through the arxiv_mcp_project and uses AI to generate quick summaries, aiming to help users efficiently obtain the core content of papers.

The Traylinx Search Engine MCP Server is a bridging service that connects to the Agentic Search API, allowing MCP clients (such as Claude and Cursor) to use intelligent search functions to obtain text summaries and structured data (HTML, images, etc.).

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.

An MCP server based on FastAPI for obtaining Wikipedia summaries, supporting AI assistant interaction, and can be quickly deployed via Google Colab and Ngrok.

Remember Me is a persistent framework based on MCP for maintaining conversation context and rules. It supports storing rules, code snippets, and conversation summaries, uses an SQLite database, and provides a complete API to manage resources.