MCP server

PersonalKnowHow

io.github.Georgi-Petkov/personalknowhow

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Live public demo: query one person's learning and work history as a knowledge graph via MCP.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 1,492 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http personalknowhow https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.personalknowhow]
url = "https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"personalknowhow":{"httpUrl":"https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"personalknowhow":{"url":"https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"}}}

VS Code

{"servers":{"personalknowhow":{"type":"http","url":"https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"}}}

Antigravity

agy mcp add personalknowhow https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"personalknowhow","server_url":"https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"personalknowhow","server_url":"https://personalknowhow-demo.kxtwrdzt6g.workers.dev/mcp"}

Tools

• list_by_type ~250 tokens
  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
• query_knowhow ~530 tokens
  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
• related_entries ~393 tokens
  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 ~319 tokens
  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

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