Tenrung in ChatGPT

Questions it answers

Tenrung scores how far a team has come from paying for AI seats to working with AI every day. The user scores 10 lines from 0 to 3, so the total runs 0 to 30.

The lines cover ownership (a named AI owner with hours for it, department reps meeting every 2 weeks, a 1-page policy), learning (monthly live training on the team's own work, 3 training tracks, a recorded library checked every month) and the loop (a use-case list ranked by hours saved, wins posted company-wide, weekly blocked AI time, hours saved shown to leadership).

The answer gives the band, the 3 first moves from the weakest lines, and a 90-day plan: month 1 sets up the champion, the policy, the library and office hours; month 2 ships 2 workflows, times them, then ships 2 more; month 3 runs a 2-week hackathon with a demo day judged 50% on hours saved, 30% on how many would use it and 20% on reuse. Each step is marked start, tighten or keep from the scores.

It also returns a role card for the AI champion: who fits, the 5 recurring jobs and about 5 hours a week. The score is a self-assessment, not an audit. Nothing is stored; the share link holds only the 10 numbers and an optional team name.

What it can do

• Scores 10 lines from 0 to 3 and returns a total out of 30 with one of 4 bands
• Picks the 3 first moves from the weakest lines
• Builds a 90-day plan with every step marked start, tighten or keep
• Returns the AI champion role card with 5 jobs and the weekly hours
• Gives a shareable result link that holds only the 10 numbers

Tools

• score_ai_native_team, Score how AI-native a team is. 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 recorded session library checked monthly, a use-case list ranked by hours saved, wins posted company-wide, weekly blocked AI time, and hours saved measured and shown to leadership. Ask the user for each of the 10 scores first (the input schema says what 0, 1, 2 and 3 mean on each line); never guess one. Returns the total out of 30, the band (You bought seats, A start no engine, Almost there, AI native), the 3 first moves, a 90-day plan in 3 months with each step marked start, tighten or keep, the AI champion role card, and a share_url to a public result page. Nothing is stored; the link holds only the 10 numbers and the optional team name.

Add Tenrung in ChatGPT

ChatGPT does not read a local config file. A custom MCP server is added in the product, and only after developer mode is on. These steps were checked against OpenAI's plugin connect guide and the ChatGPT MCP guide on 2026-10-01. Developer mode can be hidden by a workspace policy, so a Team or Enterprise admin may have to allow it first.

1. Open ChatGPT settings, then Security and login, and turn on Developer mode.
2. Open ChatGPT plugins and select the plus button.
3. Enter a name such as "Tenrung" and a one-line description of what you want it to answer.
4. Under Connection, choose the public endpoint and paste https://tenrung.openkrill.app/mcp. Include the /mcp path. Do not add a tunnel id: this server is already public.
5. Create the connection and review the tools ChatGPT lists. You should see score_ai_native_team. The feedback tools on the same server are optional and not required for the lookup.
6. Start a new conversation, add the connection from the tools menu, and ask: Score how AI-native my team is and give me a 90-day plan.

No API key and no OAuth client id are required. The server answers without a login. Calls are limited per network and per day, and a limit comes back as a tool error rather than a partial answer. If the tool list is stale after a server change, open the connection and select Refresh, then start a new conversation.

The ChatGPT desktop app, Codex CLI and IDE extension share a different config. In the desktop app, open Settings, then MCP servers, choose Add server, select Streamable HTTP, and paste the same URL. In ~/.codex/config.toml the equivalent is a table named mcp_servers.tenrung with url = "https://tenrung.openkrill.app/mcp". ChatGPT on the web does not read that file. A published directory listing is also a different path: this page is the developer-mode connection, not a claim that Tenrung is already in the ChatGPT directory.

Treat the server as untrusted until you have read a few answers. A remote MCP server sees the arguments the model sends. Tenrung is read-only and documents what it sends onward on the privacy page.

If it does not work

A call checked on 2026-10-11

A made-up team with an owner and a policy but no measured hours. The tool reads only the 10 numbers and keeps nothing. The request below was posted to https://tenrung.openkrill.app/mcp as tools/call. HTTP 200. Source: the Tenrung server, read 2026-10-11.

{
  "method": "tools/call",
  "params": {
    "name": "score_ai_native_team",
    "arguments": {
      "scores": {
        "owner": 3,
        "reps": 2,
        "policy": 3,
        "training": 2,
        "tracks": 1,
        "library": 2,
        "backlog": 1,
        "wins": 2,
        "focus_time": 1,
        "hours_saved": 0
      },
      "team_name": "Northwind"
    }
  }
}

• lines. 10 returned
• lines title. One named person owns AI adoption, with hours for it in their week
• first moves. 3 returned
• first moves title. Hours saved are measured and shown to leadership
• plan. 3 returned
• plan name. Set up

Repeat the call yourself if you need a newer reading. Cached answers expire. A rate limit is not a result: wait and try again. Nothing in the call is a ranking, a filing, or advice.

Using it in production

Nothing to install and nothing to run: no package, no Python or Node.js version and no environment variable. Tenrung runs on our servers, and your client only needs the URL https://tenrung.openkrill.app/mcp.

Use it in other apps

• Tenrung in Claude
• Tenrung in Cursor
• Tenrung in VS Code
• Tenrung in Pi

Frequently asked questions

Words on this page

• MCP (Model Context Protocol) definition
• Streamable HTTP transport definition
• Tool primitive definition
• Rate limit policy definition

Source: plugin listing for tenrung in this repository, and a live tools/call on 2026-10-11. As of 2026-10-11.