1. Conduid
  2. Blockchain
  3. Jev MCP
MCP server · Blockchain

Jev MCP

MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client

Unclaimed MIT blockchain
44Fair

Scored 4 days ago · breakdown

About Jev MCP

Jev MCP is an MCP server published by burnigtm in the Blockchain category: mCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.

The repository has 64 stars and 10 forks, with the last commit 5 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/burnigtm/jev-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Jev MCP

Powered by Claude · Grounded in docs

I know everything about Jev MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

README

jev-mcp

A local stdio MCP server that gives Cursor, Codex, and other MCP clients typed TypeSafe Jev judgments. Jev returns Choice, Score, and Noul answers; the host agent still edits files and runs commands.

Tools

Tool Purpose
jev_step Route the next step and select a prepared call in one request
jev_coding_loop Route the next step and decide whether a partner model is needed
jev_tool_route Select an exact host-prepared tool call without generating arguments
jev_review Assess a proposed patch
jev_verify Check claims against supplied evidence
jev_gate Combine patch review and claim verification in one upstream call
jev_screen Screen untrusted content before the host reads it
jev_rank Rank candidates supplied by the host
jev_evaluate Ask custom, atomic typed questions

Results include typed answers, token usage, and an action: auto, review, or escalate. Confidence measures model certainty, not factual truth. Incomplete context never permits auto; reduce the input and submit it again for a complete judgment. Questions that receive untrusted text carry a data-boundary instruction, and jev_screen adds a deterministic high-signal injection backstop. Those are defense-in-depth: screening is advisory, not a sanitizer or permission to follow external text.

Question packs are MCP resources at jev://packs/{coding-loop,tool-route,step,review,verify,screen,rank,gate}. Workflow templates are MCP prompts at jev-step-loop, jev-completion-gate, and jev-screen-untrusted.

Coding with fewer partner-model turns

jev_step answers the whole loop turn in one request: it routes the step and, when the host supplies prepared calls, selects among them. A host that would otherwise call jev_coding_loop and then jev_tool_route spends one MCP round-trip instead of two, so it spends one host-model turn instead of two. Both original tools remain available.

Let host code execute known steps and prepare exact tool calls from an existing plan. When a semantic choice is needed, pass those calls to jev_step or jev_tool_route; either returns an executable call only for a confident, suitable selection with complete context and validated host facts. The host executes that call and routes again using the new observation. Jev never invents arguments or executes tools.

When a new plan or code may be needed, use jev_coding_loop with trusted execution facts. Its handoff distinguishes tool use, context gathering, review, user input, stopping, and a partner model. Invoke a generative partner only when partner_model.required is true; the legacy model_tier answer alone does not request a model turn. Uncertainty and escalation do not automatically spend a partner turn.

The prepared-call router accepts at most 32 candidates. Empty or wholly ineligible lists return locally with zero Jev usage. Other routing calls use Jev; this reduces unnecessary generative handoffs by policy, but live quality and cost savings have not been measured. See the tool contracts and host workflow.

Quick start

Install Node 20+ and run from a checkout:

npm ci
npm run build

Set a TypeSafe API key in your shell, then run diagnostics:

export TYPESAFE_API_KEY=ts_...
node dist/index.js doctor
node dist/index.js doctor --json

PowerShell:

$env:TYPESAFE_API_KEY = 'ts_...'
node dist/index.js doctor --json

For a deterministic local demo, set JEV_MCP_MOCK=1 instead. Mock mode is for tests and demos, not production decisions. Neither the CLI nor MCP automatically reads .env; see configuration for explicit environment-file use.

Cursor: copy the MCP example into .cursor/mcp.json, replace its argument with the absolute path to this checkout's dist/index.js, and set the key in env.

Codex: register the absolute path:

codex mcp add jev --env TYPESAFE_API_KEY=ts_... -- node /absolute/path/to/jev-mcp/dist/index.js

Install the complete agent skill folder at .agents/skills/jev-mcp/ so Codex or Cursor knows when to call these tools. Keep its references, scripts and license together. Skill discovery and MCP configuration are separate steps; see installation. The bundled TypeSafe reference links the relevant primary documentation; the evidence helper captures real patches and test output for completion judgments.

CLI

node dist/index.js                       # stdio MCP
node dist/index.js doctor                # human-readable diagnostics on stderr
node dist/index.js doctor --json         # structured diagnostics on stdout
node dist/index.js eval --stdin < request.json

An evaluation request contains state and a questions map:

{
  "state": "Production payouts are failing. Urgent.",
  "questions": {
    "urgent": { "type": "noul", "instructions": "Is this urgent?" }
  }
}

Diagnostics do not log request content or API keys. Calls have a 30-second total deadline by default, configurable with JEV_MCP_TIMEOUT_MS. API failures and invalid responses return typed errors rather than fabricated judgments.

Limits and policy

State plus questions must fit the estimated 64,000-token total budget and the 32,000-token state-plus-longest-question budget. State may be shortened; results expose incomplete coverage and cannot automatically accept a judgment based on omitted context. Questions alone that exceed the budget are rejected.

Rank accepts unique candidate IDs and at most 5,000 supplied candidates, with at most 250 options per upstream call. Larger lists use repeated reduction rounds; each candidate text is capped at 2,000 characters. Verify and gate accept at most 1,000 claims. It ranks supplied candidates and does not index your repository. Arithmetic and date calculations belong in host code.

All nine tools expose an MCP output schema and return the same successful payload through both structuredContent and the JSON text content. Tool-route and fused-step judgments receive control-stripped candidate IDs/names, sanitized descriptions, and argument shapes; raw host arguments are retained only for the selected, locally validated call. jev_verify also reports all_claims_verified, which is stricter than its per-item classification action.

Development

npm test
npm run typecheck
npm run build
npm run test:package
npm run benchmark
npm run test:skill
npm run build:skill

The regular suite never runs live evaluations, even when a key is inherited. Package smoke testing builds and packs the project, installs the tarball into an isolated directory with npm --offline, then exercises its shipped CLI and MCP server. npm run benchmark measures compiled MCP stdio transport in deterministic mock mode. Use npm run benchmark:ci for broad sanity budgets. Run npm ci first to populate the dependency cache. No test publishes the package.

npm run build:skill creates a standalone versioned ZIP and checksum under ignored artifacts/. npm run test:skill checks independent extraction, contained references, all nine documented requests, task graders, and executable workflow replay. Explicit npm run eval:live and npm run eval:agent -- --host all --paired --runs 1 measure live judgments and real coding tasks separately. Read evaluation setup and interpretation for credentials, pinned models, CLI prerequisites and report meaning.

npm pack and npm publish build automatically through prepack. CI checks Node 20 and 22 on Windows and Linux, including the offline packed-install smoke test.

Documentation

Document Contents
Changelog Unreleased changes, compatibility notes, and validation
Architecture Request path, policy, limits, and errors
Tools Arguments and outputs for all nine tools
Install Host configuration and Windows checkout
Configuration Environment, thresholds, diagnostics, tests
Agent skill Calling guidance for the host
AGENTS.md Short project guidance

README fetched from the repository 4 days ago. The original is authoritative.

Questions

About Jev MCP

How do I install Jev MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Jev MCP safe to use with an AI agent?

Its trust score is 44 out of 100 (fair). It passes 5 of the 5 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Jev MCP still maintained?

Yes — the last commit was 5 days ago. The repository has 64 stars and 10 forks and 1 open issues.