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jev-mcp

tijo95/jev-mcp

Local stdio MCP server exposing 6 TypeSafe Jev decision tools.

Automated README summary

Automatically summarized from the README on 28 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A zero-dependency Python MCP server for developers using MCP clients like VS Code, Cursor, or Claude Desktop. It wraps the TypeSafe Jev decision API and exposes 6 jev_* judgment tools, bypassing Cloudflare WAF blocks by calling api.typesafe.ai directly.

How it uses Jev

The server exposes 6 tools that call the Jev decision API: jev_guard_tool_call, jev_route_model, jev_route_task, jev_check_research, jev_review_completion, and jev_decide. jev_decide accepts custom state and questions (choice type shown). Results are returned to the MCP client; the README does not detail how probabilities are consumed in code.

Primitives:choice

Technique worth stealing

Bypass Cloudflare WAF by calling api.typesafe.ai directly with a browser-like user-agent.

Try it

Clone repo, set TYPESAFE_API_KEY, configure MCP client to run jev_mcp.py.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.91
  • Shows a System One patternnot found in the excerpt0.13
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.26
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.91Shows a System One pattern0.13Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.98Top-10 learning shortlist signal0.26Is a replica of the model0.0300.51Solves a common problem (0–2)1.02 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.88Menu0.2500.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 28 Sept 2026.