Enables semantic search, code exemplar lookup, knowledge-graph statistics, and cached retrieval over locally ingested notebook and Markdown content through MCP.
Turns an organization's scattered work signals into a living, cited knowledge base that any MCP client can query. Enables hybrid search over knowledge pages, grounded answers with inline citations, entity profiles, and pushing new signals into the same ingestion pipeline.
Enables querying a stateless, read-only MCP endpoint for profile information, projects, CV details, and grounded answers based on published site content.
A privacy-first personal context engine that ingests personal photos and message exports, extracts cited facts, and serves a queryable profile over MCP for natural-language questions like 'when did I last see Sarah?'.
Enables MCP clients to search personal memory, add notes, and retrieve entities through a hybrid graph/vector knowledge engine with provenance for retrieved results.
Enables MCP-compatible AI clients to query structured portfolio data such as experience, projects, skills, contact info, and blog posts without scraping HTML.