PersonalKnowHow
Live public demo: query one person's learning and work history as a knowledge graph via MCP.
Connect it
Settings → Connectors → Add custom connector
URL: https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp{
"mcpServers": {
"personalknowhow": {
"url": "https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"
}
}
}claude mcp add --transport http personalknowhow https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp{
"servers": {
"personalknowhow": {
"type": "http",
"url": "https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"
}
}
}4 tools, verified live
query_knowhowread-onlySearch this person's real, grounded skills/experience graph for a topic using semantic search. Returns only entries with real evidence -- never guesses. Every entry here represents something actually done or completed (project, certification, position, course, or education) -- this public dataset never includes saved-but-not-worked jobs or applications. This is SEMANTIC search ranked by relevance
list_by_typeread-onlyReturns the COMPLETE, exact set of entries for one type, with no similarity ranking, no relevance cutoff, and no cap on count. Use this instead of query_knowhow whenever the question requires an exhaustive or countable answer ('list all my certifications', 'how many courses have I completed'). Deterministic ordering (sorted by label) -- repeated calls with the same type return the same list in the
related_entriesread-onlyGiven an entry id (from a prior query_knowhow or list_by_type result), returns other entries that share at least one tag or the same content provider -- the only two relationships this corpus currently tracks (there is no 'led to' or 'used in' relationship here, only shared tag/provider). This is NOT a similarity or relevance judgment -- two entries sharing a broad tag (e.g. both tagged 'data-scie
skill_evidenceread-onlyGiven an exact tag/skill (e.g. 'docker', 'gcp'), returns EVERY entry with that tag, uncapped, grouped by type with a real count per type. Unlike related_entries (capped at 15, requires a starting entry id) or query_knowhow (semantic, ranked, may over- or under-include), this is an EXACT tag match against every entry -- the right tool for 'how many X have I completed/done' or 'do I have any real ev
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