Provides a self-hosted knowledge index with document-level permissions, enabling AI agents to retrieve exactly the documents they are authorized to see via MCP. Supports OAuth 2.1, custom embedding models, and runs inside your network.
An MCP server that enables AI assistants to perform semantic searches over local document collections using multi-context organization and automatic OCR. It supports various file formats including PDF, DOCX, and images, ensuring all data processing remains local and private.
MCP server for structured document management of markdown and YAML files, with RBAC, git-based approval workflows, and semantic search, enabling agents to read, edit, and maintain documents under governance.
A local-first MCP server that provides AI agents with safe codebase access through file discovery, hybrid lexical-semantic search, and project introspection. It features durable local memory and semantic indexing while keeping all data and processing entirely on your local machine.
An MCP server that enables AI agents to search, read, and contribute to a structured markdown knowledge base with citations, freshness tracking, and a safe write path, providing a shared, auditable company memory.
