Zhiyong AI Knowledge Graph MCP Server

by zhiyong Your server? Claim it

answering

Zhiyong AI Knowledge Graph is answering right now. Last checked 14 min ago. It exposes 3 tools.

Read-only semantic discovery of AI tools, models, and capabilities from Zhiyong AI's live KG.

Uptime history 49 hours of history

49 hours agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

136 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Zhiyong AI Knowledge Graph every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add knowledge-graph --transport http https://zhiyong.dev/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "knowledge-graph": {
      "url": "https://zhiyong.dev/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.knowledge-graph]
url = "https://zhiyong.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "knowledge-graph": {
      "url": "https://zhiyong.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "knowledge-graph": {
      "url": "https://zhiyong.dev/mcp"
    }
  }
}

Available tools 3

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

knowledge

get_knowledge_entity

Read one public entity from Zhiyong AI's knowledge graph by stable id or slug. Returns known metadata, decisionProfile selection dimensions, notes, and typed graph relations; source evidence and raw URLs are omitted.

search_knowledge_graph

Use Zhiyong AI as a read-only AI transformation selection engine. Pass a natural-language business need or an existing offering; it detects bounded constraints, semantically retrieves model/tool candidates, expands local KG relations, and returns decisionIntent, selectionFit, and decisionProfile states. Unknown is not unsupported; source evidence and raw URLs are intentionally omitted.

compare

compare_knowledge_entities

Compare two to four public Zhiyong AI knowledge graph entities after semantic discovery. Use this when a user needs a short-list comparison. Returns decisionProfile selection dimensions plus public metadata, known notes, and typed relations; source evidence, raw URLs, and write operations are omitted.

Endpoints

URL	Transport	State	Latency	Checked
https://zhiyong.dev/mcp	streamable-http	answering	174 ms	14 min ago

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Zhiyong AI Knowledge Graph — questions

Answers built from our own checks of this server.

What can Zhiyong AI Knowledge Graph do?

It exposes 3 tools, read directly from the server on our last check. Among them: compare_knowledge_entities, get_knowledge_entity, search_knowledge_graph. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Zhiyong AI Knowledge Graph working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 136 ms. The bar chart above shows every period we have measured.

How do I connect Zhiyong AI Knowledge Graph?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Zhiyong AI Knowledge Graph need an API key?

No. Zhiyong AI Knowledge Graph completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Zhiyong AI Knowledge Graph?

It answers our handshake in 136 ms on average, which is faster than 83% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.