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.

An MCP service that prevents AI hallucinations. When AI is uncertain, it can ask humans for help instead of being over - confident, improving development efficiency through a simple Q&A mechanism.

MCP-NixOS is a model context protocol server that prevents AI assistants from having hallucinations about the NixOS system, providing real-time access to NixOS packages, system options, Home Manager settings, and nix-darwin configurations.

A development documentation server based on the MCP protocol, providing functions such as document crawling, local loading, precise search, and detail retrieval, to solve the document hallucination problem in AI development.

A development document server based on the MCP protocol, providing accurate framework document retrieval services and solving the API hallucination problem in AI development.

Libragen is a local RAG library construction tool used to connect AI assistants (such as Claude) with your actual documents and code libraries. It reduces AI hallucinations by creating a searchable knowledge base, supports building from local files or Git repositories, and is directly integrated into the AI workflow through the MCP protocol.

FOCUS DATA MCP Server is an AI assistant service that converts natural language into SQL statements. It uses a two-step generation scheme to control LLM hallucinations and increase the trust of non-technical users in SQL results.

RagAlgo is an MCP server that provides mathematically scored financial context (South Korean stocks/cryptocurrencies) for AI agents. It focuses on using daily closing data to build a 'factual state' to prevent AI hallucinations caused by real - time market noise, aiming to build investment advisors rather than high - frequency trading robots.

A Java class analysis service based on the MCP protocol. It provides accurate code analysis capabilities for LLMs by decompiling dependent JAR packages and solves the dependency hallucination problem in AI coding.

GitMCP is a free and open - source remote MCP server that can transform any GitHub project into a documentation center, enabling AI tools to access the latest documentation and code and reducing hallucinations.