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How to Use Jev in ChatGPT: TypeSafe's Decision Model via MCP

Add TypeSafe Jev to ChatGPT as a developer-mode app: ChatGPT sends yes/no, classification and scoring to Jev and gets probabilities back in about 300 ms.

HCBy HelpCode teamUpdated 3 min read Open-source on GitHub

No credit card · 7-day trial · Self-host alternative available

chatgpt · Jev by TypeSafe
Use Jev to triage these four tickets: urgent or not, which team, and how frustrated the customer is.
AI
Callingjev_playbookjev_ask
Payouts failing for 3 days: urgent 0.88, billing, very frustrated. App crashes on every PDF upload (German): urgent 0.90, technical, very frustrated. Annual-plan discount: urgent 0.02, sales. Thanks for the webinar: urgent 0.01, no team needed. No answer fell in the unsure band; handle the crash and the payouts first.
jev_playbookjev_yes_nojev_classifyjev_ratejev_ask+ more
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  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Real prompts that work after a 4-minute setup.

Drop these into ChatGPT once the connector is installed. Tools listed below each prompt are auto-called by the agent.

“Use Jev to decide which of these emails need a reply today and show only the ones above 0.8.”
jev_yes_no
“Classify these tickets into billing, technical, sales or none with Jev and list the low-confidence ones.”
jev_classify
“Rate these five leads from 0 (no fit) to 3 (ideal) with Jev against our customer profile.”
jev_rate
“Ask Jev whether each pair of supplier records describes the same company.”
jev_ask

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Jev by TypeSafe in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Add TypeSafe Jev to ChatGPT as a developer-mode app: ChatGPT sends yes/no, classification and scoring to Jev and gets probabilities back in about 300 ms.

Try asking

Example prompts for Jev by TypeSafe

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Jev by TypeSafe · live via MCP
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Claude is AI and can make mistakes. Please double-check responses.

Jev in ChatGPT

Short answer: install the Jev connector on AnythingMCP with your TypeSafe API key, turn on developer mode in ChatGPT and add AnythingMCP as an app with the URL https://cloud.anythingmcp.com/mcp. ChatGPT can then pass every yes/no, classification or scoring decision to Jev and gets a probability back instead of a guess.

Jev, from TypeSafe, is a decision model: it never writes text, it answers typed questions about the evidence you give it. That makes it fast (about 300 ms), cheap (input tokens only) and explicit about uncertainty. ChatGPT stays in charge of the conversation.

Set it up

Step 1: Install Jev on AnythingMCP

  1. Create an API key at console.typesafe.ai.
  2. Create a workspace on AnythingMCP Cloud (7 days free) or use your self-hosted AnythingMCP.
  3. Open Connectors, find Jev by TypeSafe, click Install and paste the key into TYPESAFE_API_KEY.

Step 2: Add AnythingMCP to ChatGPT

ChatGPT connects to MCP servers as custom apps in developer mode, available on paid plans (not on Free). On Business and Enterprise workspaces an admin may have to allow it first.

  1. In ChatGPT, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click +.
  3. Enter a name and a short description, e.g. Name: AnythingMCP.
  4. Under Connection, enter the MCP server URL https://cloud.anythingmcp.com/mcp and create the connection.
  5. When ChatGPT asks, sign in to AnythingMCP (OAuth) and allow access.

Step 3: Ask ChatGPT to use Jev

Start a new chat, pick the AnythingMCP app and mention Jev, for example "use Jev to rate these leads". ChatGPT reads jev_playbook and calls the Jev tools on its own.

What happens when you ask

Ask ChatGPT to route twenty support tickets to billing, technical, sales or none. It writes the four options with a short description each, calls jev_classify once per ticket with the ticket text as evidence, and gets back the chosen team, a probability for every team and a confidence. It can then show you a table and list separately the tickets where the confidence is low, so a person looks at those.

Prompts to try in ChatGPT

  • "Use Jev to classify these tickets into billing, technical, sales or none and show the confidence for each."
  • "Ask Jev which of these customer messages mention a cancellation, and give me the probability for each."
  • "Rate these leads from 0 (no fit) to 3 (ideal) with Jev against the profile below."
  • "Check with Jev whether each FAQ answer below actually answers its question."

FAQ

Does it work on the free ChatGPT plan? No. Custom MCP connections need developer mode, which is only on paid plans.

What does it cost? Jev is billed by TypeSafe, about $0.042 per million input tokens, output free; a typical decision uses 300 to 520 tokens. AnythingMCP Cloud has a 7-day free trial, then from €19 a month; self-hosted AnythingMCP is free.

Why not just ask ChatGPT to decide? You can, but you get a sentence back. Jev returns a number on a fixed scale, the same way for every record, and tells you when it is unsure. That is what you need to sort, filter or automate.

Can I use the same setup in Codex or Claude? Yes. Every MCP client can connect to the same AnythingMCP server and use the same Jev connector and key.

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