# Knowledge Retrieval

Zotero - MCP is a Python server that implements the integration of the Model Context Protocol (MCP) with the Zotero literature management software, enabling AI assistants to access and query users' Zotero literature libraries.

The Graphlit MCP Server is an integration tool that connects MCP clients with Graphlit services, supporting the ingestion, processing, and retrieval of multiple data sources.

The Higress AI-Search MCP Server provides real-time search engine result enhancement for AI models

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

A JSON knowledge base reading server based on the MCP protocol, providing knowledge retrieval, classification query, and related statistical functions, supporting integration with LLMs such as Claude.

Librarian is a knowledge base server based on the MCP protocol, providing reading, search, and retrieval functions for structured documents for large language models. It organizes document content through a tag system and directory hierarchy.

Cline's MCP protocol backend service, providing knowledge base integration and retrieval functions

A knowledge base retrieval tool based on the MCP server, supporting semantic search and content management.

Tribal is an error knowledge tracking and retrieval service based on the MCP protocol, providing REST API and native MCP interfaces to help tools like Claude record and find solutions to programming errors.

A document search assistant integrated with Claude AI. It enhances Claude's document retrieval capabilities through the MCP server and supports intelligent search and explanation of documents for multiple AI/ML libraries.

An implementation of a Retrieval Augmented Generation (RAG) service based on the AWS knowledge base

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

A high - performance MCP server that provides an efficient knowledge interface between LLMs and MongoDB, supporting small context window optimization and multiple domain data models.

The Onyx MCP Server is a protocol server that connects MCP clients to the Onyx knowledge base, providing semantic search and intelligent chat functions.

Weaviate's MCP server for knowledge storage and retrieval of the Claude desktop client

This project demonstrates how to implement a Model Context Protocol (MCP) server supporting Retrieval Augmented Generation (RAG), providing functions for knowledge base interaction, information retrieval, and document management.

Agentic is an intelligent business service system based on the agent architecture. It coordinates the RAG service and monitoring service through the central application proxy to provide comprehensive solutions.

The Valyu MCP Server is a model context protocol server that provides knowledge retrieval and feedback API services.

Tribal is an MCP server implementation for error knowledge tracking and retrieval, providing REST API and native MCP interfaces to help Claude remember and learn programming errors.