"Qase" matching MCP servers:

Enables agents to search, read, list, and amend a git-backed markdown knowledge base, automatically committing and publishing changes.

A local document processing server that can index various document formats (PDF, DOCX, TXT, HTML) and answer questions based on their content using the Model Context Protocol.

Enables semantic search across Clarion programming documentation via natural language queries in Claude AI, supporting 21 manuals and 21,747 indexed chunks.

Enables coding agents to list, search, and read a curated Shopware developer and merchant knowledge base offline as plain Markdown files, without network access or an API key.

Enables AI assistants to search, retrieve, and browse Markdown documentation in a local folder, then answer questions with cited sources.

A free, plug-and-play knowledge base server that provides access to 10,000+ insight reports with secure local data storage.

A persistent knowledge base server for MCP development with GitHub integration and removal blocklist.

Enables AI agents to query structured knowledge across enterprise domains (legal, HR, compliance) with metadata-driven filtering and TF-IDF ranking.

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

A Model Context Protocol server for building and managing chronological timelines of case events, enabling legal professionals to organize complex case histories with smart date parsing, document parsing, multi-format export, and advanced search.

Enables access to Amplemarket's knowledge base through Pylon's API. Supports searching articles, retrieving full content, and browsing collections with built-in caching for improved performance.

Provides a local MCP server for searching and retrieving documentation from 22+ open-source projects, enabling AI coding assistants to access up-to-date docs without network dependency.

Enables to search and retrieve chunks from a fictional library's documentation through three tools (kb_search, kb_fetch, kb_sources), allowing LLMs to perform RAG queries via the Model Context Protocol.

Enables AI tools to retrieve codebase context, summaries, decision notes, and file details via MCP, avoiding re-explaining the project.

An MCP server that connects to your Notion knowledge base, allowing you to query and retrieve information directly from VSCode using the Cline extension.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Provides RAG-based FastAPI documentation retrieval and project introspection tools via MCP, enabling LLMs to query reference docs, symbols, and project OpenAPI specs.

Turns Confluence documentation into an AI-powered knowledge base, enabling natural language questions about your systems with answers retrieved from your actual documentation through semantic search.