MCP server
Tenrung
app.openkrill/tenrung
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Score how AI-native a team is on 10 lines and get a 90-day plan and an AI champion role card.
Working at last checkVerified publisher: openkrill.appAbout 2,309 tokens per request once connected4 tools
https://tenrung.openkrill.app/mcp
At a glance
- Type
- MCP server
- Publisher
- openkrill.app (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 2,309 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
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 tenrung https://tenrung.openkrill.app/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.tenrung] url = "https://tenrung.openkrill.app/mcp"
Gemini CLI
{"mcpServers":{"tenrung":{"httpUrl":"https://tenrung.openkrill.app/mcp"}}}
Cursor
{"mcpServers":{"tenrung":{"url":"https://tenrung.openkrill.app/mcp"}}}
VS Code
{"servers":{"tenrung":{"type":"http","url":"https://tenrung.openkrill.app/mcp"}}}
Antigravity
agy mcp add tenrung https://tenrung.openkrill.app/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":"tenrung","server_url":"https://tenrung.openkrill.app/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"tenrung","server_url":"https://tenrung.openkrill.app/mcp"}
Tools
score_ai_native_team~1508 tokens
Score a team or company on the 10-line AI-native scorecard and get a 90-day plan. Each line is scored 0 to 3 by the user: a named AI owner with hours for it, department reps meeting every 2 weeks, a pinned 1-page AI policy, monthly live training on their own workflows, training in 3 tracks, a record
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