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kev-decision-mcp

HappyMonkeyAI/kev-decision-mcp

FastMCP adapter exposing Kev pointer-head decision API as agent tools.

Agent Decisions0.71Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A small stdio FastMCP adapter that exposes the Kev pointer-head Jev model decision API as agent tools for MCP hosts and agents needing typed decisions rather than text generation.

How it uses Jev

Jev makes typed decisions on any JSON state: choice, score, and noul questions. Tools include kev_evaluate, kev_permute, kev_separate, kev_select_tool, and kev_custom_decision. Results return probabilities, confidence, and metadata; callers use them advisory, not as authorization.

Primitives:choicescorenoul

Technique worth stealing

Pack several typed questions into one kev_evaluate call; base thresholds on probabilities, not confidence.

Try it

uv sync && uv run kev-mcp-server

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 material0.94
  • Shows a System One patternunclear0.45
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.22
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.94Shows a System One pattern0.45Describes handling uncertainty0.04Reports measured numbers0.07Is a runnable tool0.96Top-10 learning shortlist signal0.22Is a replica of the model0.0300.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Fail open, fail closed0.63Check-up0.57Inspection0.55Flight recorder0.2600.51

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 7 Oct 2026.