Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

RedNote MCP is an MCP service tool for accessing Xiaohongshu content, supporting functions such as login initialization, keyword note search, and note content access via URL through the command line.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

A Redis database operation service based on the Model Context Protocol, providing various Redis command tools

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

The MCP Text Editor Server is a text file editing service based on the Model Context Protocol, providing line-oriented text file operation capabilities and supporting efficient partial file access to reduce token consumption for LLM tools. It has features such as concurrent editing detection, multi-file atomic operations, and support for multiple encodings.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

An MCP server for batch - reading memory bank files, which reduces the frequency of AI tool calls and saves time and costs by loading all files in the directory at once.

The MCP Context Template is a repository for centrally managing AI tool contexts, aiming to reduce the cost of context sharing and improve development efficiency, providing a unified AI collaboration standard and document structure for teams.

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.

Agent MCP Gateway is a Model Context Protocol (MCP) gateway used to aggregate multiple downstream MCP servers and provide policy-based access control. Through its on-demand tool discovery mechanism, it solves the problem of context window waste caused by loading all tool definitions at startup in development environments such as Claude Code, reducing context occupation by over 90%.

An MCP service that reduces token consumption in language model interactions through efficient data caching

A simple task management server demonstration project based on the MCP Go library and Redis, supporting functions such as task creation, update, deletion, assignment, and status marking.

The Enkrypt AI MCP Server is a tool integrating red team testing, prompt auditing, and AI security analysis, supporting integration with MCP - compatible clients.

This project is a server based on the Model Context Protocol (MCP), specifically designed to interact with the Amazon Redshift database. It securely connects through the AWS Data API, provides functions such as database structure query, data retrieval, and performance analysis, and supports integration with AI tools such as Claude and Cursor.

This project is a Reddit service interface based on the Model Context Protocol (MCP), implemented through the Python Reddit API Wrapper (PRAW), which allows AI assistants to access and interact with Reddit content. The project provides functions such as user information analysis, getting popular posts, community statistics, and viewing trending sub - forums, and supports authenticated users to post and comment.

This project uses Docker to build an MCP server that integrates Redis and TimescaleDB, providing features such as fast deployment, automatic restart, and useful scripts.

Reddit MCP Buddy is a Reddit browsing tool designed for AI assistants. It allows you to quickly browse Reddit posts, search for content, and analyze user activities without an API key, and supports multiple authentication methods to increase the request limit.

This project builds an MCP server through the Unstructured API to process research paper data, extract key information, and convert it into a structured JSON format, helping researchers quickly obtain literature information and reduce the time for literature reviews.

ComfyUI custom nodes support downloading pictures and videos from over 1000 websites such as Instagram, Reddit, YouTube, and TikTok, providing browser cookie authentication and file management functions.

The MCP Server Logger is a tool used to solve the problem of console.log interfering with protocol communication in MCP server development. It keeps the communication pure by redirecting logs to a separate terminal.

The MCP server project for Redis Cloud, managing Redis cloud resources through natural language.

A plug - and - play Redshift database MCP service that provides a secure and standardized data access interface for LLMs and AI agents, supports multiple permission modes, and can be deployed and used without code modification.

An optimized MCP protocol web scraping server that significantly reduces the token usage of AI processing through server - side HTML to Markdown conversion and CSS selector filtering, providing efficient content extraction functions.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

An AI-driven video encoding assistance tool that connects Claude AI to the encoding workflow through the MCP server, providing intelligent error parsing, real-time analysis, and automated solutions to reduce manual intervention.

The Redmine MCP Server is an experimental plugin that provides model context protocol services based on server - side events, supporting functions such as issue listing and wiki page reading.

A TikTok and Red Book watermark-free resource extraction tool based on the MCP protocol, supporting video and image parsing and text transcription functions

A server that provides access to the Reddit public API for LLMs via the MCP protocol, supporting functions such as browsing popular posts, obtaining community information, and reading comments.

An MCP server implementation for Redmine, providing ticket and project information for LLMs through the REST API.

A Redis server integration project based on Python, providing Redis connection management, basic operations, and data structure tools, which can be interacted with through the MCP 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 tool based on the MCP protocol for querying and using the GitHub GraphQL API, providing functions such as precise data retrieval and reduced token consumption, and supporting multiple languages.

Xiaohongshu MCP Server

An asynchronous conversation AI service based on the Google Gemini API, which processes requests through a Redis queue and provides an MCP protocol-compatible API interface.

An MCP service that reduces token consumption in language model interactions through a caching mechanism

The MCP Toolkit is a modular server implementation for building high-precision vertical AI agents, providing support for 123 tools, significantly reducing the amount of code, and simplifying complex workflows.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.