MCP server that enables AI agents to search, fetch, and analyze a self-maintaining markdown knowledge base with provenance, drift detection, and canonical definitions.
An MCP server that enables verified agents to retrieve from, propose changes to, and share capabilities around a human-owned Markdown/Git knowledge base, ensuring curation, exact-byte approval, and Git-based promotion.
MCP server that adds a trust layer to AI agent memory, enforcing independent review and tamper-evident audit chains for any memory store. It provides tools to search, get, propose, and promote memories under governance rules.
MCP server that gives AI coding agents a git-backed markdown wiki to read and update, enabling search, read, write, verify, ingest, promote, and lint operations on versioned knowledge documents with schema validation, staleness tracking, and contradiction detection.
Governed knowledge base for AI agents via the Model Context Protocol (MCP), enabling agents to search, read, and contribute persisted knowledge with versioning, audit trails, and approval workflows.