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 VS Code
VS Code reads MCP servers from mcp.json and offers their tools to Copilot Chat in Agent mode. A workspace file at .vscode/mcp.json applies to that project. For every workspace, run MCP: Open User Configuration from the Command Palette and add the same entry there. These steps were checked against the VS Code MCP servers guide on 2026-10-09.
Create or edit the file so it contains this server. VS Code uses a top-level servers object, not mcpServers. Merge it with servers you already have.
{
"servers": {
"tenrung": {
"type": "http",
"url": "https://tenrung.openkrill.app/mcp"
}
}
}No command, no headers and no input variables for a key: Tenrung answers without a login. Save the file and select Start above the entry. VS Code asks once whether you trust the server: confirm it. Run MCP: List Servers to check that Tenrung is running. You should see score_ai_native_team.
Open the Chat view, choose Agent mode and ask: Score how AI-native my team is and give me a 90-day plan. The Configure Tools button in the chat input lists the tools of each server, and VS Code may ask you to confirm the first call. The server is public and read-only. It sees only the arguments of each call, so do not paste secrets into the question.
Command line users can add it to the user profile in one step with code --add-mcp and the same name, type and url as JSON. The portable .mcp.json at the project root also works in VS Code, with mcpServers as its top-level key. An organization can turn MCP off through Copilot policy: if the MCP commands are missing, ask the admin.
If it does not work
The tool does not show up
Run MCP: List Servers, select the server and choose Restart. If it shows an error, choose Show Output to read the log. Check that the entry sits under servers with "type": "http", and that Chat is in Agent mode, where MCP tools are offered.
429 or rate_limited
Each server takes 60 calls a minute from one network, and some tools take fewer. Past that the call comes back as a tool error that starts with rate_limited: wait a minute and ask again. daily_limit means the server reached its shared daily cap, which resets at 00:00 UTC. A limit is not an answer, so do not read it as no results. For higher limits, ask support@openkrill.app for a key.
JSON entry has no type
Claude Code skips an entry in .mcp.json that has a url but no type. Add "type": "http" next to the url, or add the server with claude mcp add --transport http, which writes the type for you. The VS Code entry needs the same type field. Cursor and Pi read the url alone.
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.
| Rate limit | 60 tool calls a minute from one network. initialize and tools/list do not count. |
|---|---|
| Daily cap | 5000 tool calls a day per server, shared by every caller. It resets at 00:00 UTC. |
| At a limit | The call comes back as a tool error that starts with rate_limited (wait a minute) or daily_limit (try after 00:00 UTC), never as a partial answer. |
| Key | None. Do not add an Authorization header or a key field. |
| Higher limits | Email support@openkrill.app with the server name, the calls a day you expect and what they are for. We answer within 1 business day. |
| Freshness | Some answers come from a short cache. Each guide shows the date of its checked call; repeat a call when you need a newer reading. |
| Uptime | Scheduled test calls check the servers through the same endpoint. There is no SLA yet. |
| Data | What each server receives and keeps is on the privacy page. |
Use it in other apps
Frequently asked questions
How do I install the Tenrung MCP server in VS Code?
Add tenrung with type http and the url https://tenrung.openkrill.app/mcp under servers in .vscode/mcp.json and save the file. Select Start above the entry, confirm that you trust the server, then use it from Chat in Agent mode.
Do I need an API key to run Tenrung in VS Code?
No. This server takes no API key. For higher limits, email support@openkrill.app with the server name (Tenrung), the calls a day you expect and what they are for. We answer within 1 business day.
What should I do if Tenrung does not connect in VS Code?
Check that the entry sits under servers, not mcpServers, and has type http. Run MCP: List Servers, select tenrung and choose Restart, then open Show Output if it still fails.