io.github.Georgi-Petkov/personalknowhow · v1.0.0 · cloud-and-infra
PersonalKnowHow is healthy: it completed an MCP handshake in 777 ms and exposes 4 tools.
Live public demo: query one person's learning and work history as a knowledge graph via MCP.
Endpoint: https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 777 ms |
| Last checked (UTC) | 2026-10-16T05:00:29.426Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T05:00:29.426Z | Healthy | 777 | |
| 2026-10-15T01:31:07.101Z | Healthy | 1121 |
query_knowhow | Search 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 ne |
list_by_type | Returns 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'). Deter |
related_entries | Given 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 NO |
skill_evidence | Given 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 ag |