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.
Summary
Fast, cheap yes/no, classification and rating decisions for AI agents with Jev, TypeSafe's System One model: typed answers with calibrated probabilities in about 300 ms, instead of a paragraph to parse.
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.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Jev by TypeSafe, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Jev by TypeSafe + Cursor
Fast, cheap yes/no, classification and rating decisions for AI agents with Jev, TypeSafe's System One model: typed answers with calibrated probabilities in about 300 ms, instead of a paragraph to parse.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
TYPESAFE_API_KEY
Step 1 — Get credentials
Jev is a decision model, not a chat model. You give it state (the evidence) and one or more typed questions; it returns a number or an option with probabilities in about 300 ms. It never writes text. Use it when an agent needs a judgment it can branch on: is this urgent, which team owns it, how risky is it, does this reply answer the question, is this record a duplicate.
Start with jev_playbook. It costs no API call and explains how to phrase questions, what to put in state and how to read the probabilities.
Setup: create an API key at https://console.typesafe.ai and paste it into TYPESAFE_API_KEY. Jev is billed per input token (about $0.04 per million), output is free.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Cursor
Cursor reads MCP servers from ~/.cursor/mcp.json. Add this entry:
{
"mcpServers": {
"anythingmcp": {
"url": "https://cloud.anythingmcp.com/mcp",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart Cursor.
- Open Cursor → Settings → MCP to verify
Jev by TypeSafeis listed and "Connected". - Start chatting — all
Jev by TypeSafetools are now invokable.
Available tools
| Tool | What it does |
|---|---|
jev_playbook | START HERE: returns, with NO API call, how to use Jev well: which question type to pick, how to structure state, how to write the question… |
jev_yes_no | Ask Jev ONE yes/no question about some evidence |
jev_classify | Ask Jev to pick ONE option from a set you define (routing, labelling, intent, triage) |
jev_rate | Ask Jev to place the evidence on an ordered scale you define (severity, lead fit, quality, sentiment) |
jev_ask | Full Jev API: ask SEVERAL typed questions about the same state in one call (answered in parallel, state billed once) |
jev_list_models | List the Jev model names your API key can use in the model field (aliases such as jev-latest and jev-preview, with release dates) |
FAQ
Does Cursor support custom MCP servers on the free tier? Yes — MCP is available on Hobby, Pro and Business plans.
Next steps
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