"KnowledgeBase" matching MCP servers:

Enables MCP clients to read, search, list, and explore an Obsidian vault through coarse, intent-shaped tools, with optional read-only enforcement and a single write tool.

Provides semantic search and a tag-based knowledge graph for any project, auto-discovering local markdown knowledge bases with YAML frontmatter.

Demonstrates an MCP server with tools, resources, and prompts for a knowledgebase chatbot that queries a ChromaDB vector database for RAG responses.

Enables local agents to search and retrieve cited evidence from PDFs and Markdown notes, including page-specific passages and rendered page images.

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 high-precision local knowledge base server enabling AI agents to navigate, search, and reason about complex codebases using hybrid semantic, lexical, and graph retrieval.