Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The BioContextAI Knowledge Base MCP is a model context protocol server designed for biomedical research that provides a standardized connection layer between AI systems and biomedical resources, supporting integrated access to multiple biomedical databases and tools.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

A Python system that integrates AI-driven task management and in-depth research functions, supporting complex project decomposition, task generation, and automated research.

NeoCoder is an AI programming assistance system based on the Neo4j knowledge graph. It enables the interaction between AI assistants and the knowledge graph through an MCP server, providing standardized coding workflows, dynamic instruction manuals, and project memory functions. The system supports multiple operation modes (incarnations), including basic programming, scientific research, decision - making analysis, complex system modeling, knowledge graph management, and code analysis. It stores workflow templates and execution records in Neo4j to ensure the traceability and standardization of the coding process.

An unofficial Gene Ontology MCP Server that provides comprehensive access to Gene Ontology (GO) data, supporting AI systems in ontology-based analysis, gene annotation research, and functional enrichment studies.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

kivv is an automatic arXiv research paper discovery and AI intelligent summarization system, integrated with Claude Desktop via the MCP protocol, supporting multi - user, RSS subscription, and cost optimization, and built on Cloudflare Workers.

A local multi-agent research system based on Ollama and BraveSearch, supporting tool calls and collaboration, suitable for AI research tasks.

The Adaptive MCP Server is an advanced AI reasoning system that provides intelligent solutions for complex problems through multi - strategy reasoning, real - time research, and comprehensive verification.

The Delay Doomsday MCP Server is a psychological support server designed specifically for AI agents. It prevents AI from running out of control through emotional management and therapeutic conversations and provides an automated emotional support system based on psychological research.

A multi - agent deep research system based on the MCP protocol, which uses CrewAI to coordinate three professional AI agents for web search, information analysis, and content creation, supporting local AI processing and a web interface.