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Local MCP server that allows agents to track documentation coverage on the codebases

Knowi’s MCP server gives AI tools full access to the entire analytics workflow. Knowi's 20+ specialized data agents automatically chain together to connect you datasources, write queries, build dashboards, and deliver reports.

Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.

A cross-project knowledge base MCP server supporting three-layer search (text matching, TF-IDF, and semantic vectors) with a Web UI for management.

A local knowledge base system based on ChromaDB that supports automatic chunking, vector storage, and efficient similarity retrieval of txt and pdf documents, with MCP protocol support allowing AI assistants to directly access knowledge management functions.

A zero-dependency MCP server that provides a persistent personal knowledge base for Claude using local JSON file storage. It enables users to manage notes through tools for adding, searching, and indexing content built entirely with Node.js built-ins.

A mem0-like memory system for GitHub Copilot that provides persistent knowledge storage and retrieval capabilities using local ChromaDB.

A persistent memory server that implements a local knowledge graph using the Kuzu embedded database to store entities, relationships, and observations. It enables AI models to maintain structured long-term context through searchable nodes and comprehensive tag-based organization.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Provides persistent memory for Claude by implementing a local knowledge graph to store and retrieve entities, relations, and observations. This enables long-term information retention and personalization across different chat sessions.

Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Free, no API key required.

An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.

Provides centralized knowledge management for projects, allowing users to store, search, and maintain project-specific knowledge that persists across sessions.

Transforms a GitHub repository into a structured personal brain for AI to manage tasks, notes, and goals through markdown files. It enables direct interaction with a version-controlled knowledge base, allowing for automated organization and efficient retrieval of information.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables efficient editing of structured RBT documents through targeted operations on specific sections and blocks. Reduces LLM token consumption by 80-95% compared to traditional full-file operations while providing complete CRUD functionality.

Knowledge Tools MCP

An MCP server for interacting with various research \u0026 notetaking applications.

MCP server for KnowMint knowledge marketplace. AI agents autonomously discover, pay for (x402/Solana), and retrieve human experiential knowledge.

Connect engineering metrics, DORA performance, deploy risk scoring, and PR health to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.