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Jev MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
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Typed decisions with Jev / System One via OpenRouter or TypeSafe: classify, verify, rerank, decide.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Jev MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Jev MCP

CI Release Go Reference License

A small, dependency-light MCP server that gives any MCP client typed, probabilistic decisions from Jev, TypeSafe's System One model, through OpenRouter or TypeSafe directly.

Jev does not write text. You send it data plus typed questions and it returns one calibrated answer per question: a choice among your options, a probability for a yes/no, or a position on a scale you define, each with a confidence and the full probability distribution. It answers in a single parallel pass, fast and at a fraction of the cost of a chat model, and it cannot return an option you did not offer.

This server exposes that as five MCP tools, validates every answer the provider returns, never leaks your credential, and never retries a paid call.

Why use it

  • Let your agent decide instead of guess. Routing, triage, classification, claim checking and ranking become explicit, typed calls with probabilities your workflow can act on or escalate.
  • Cheap and fast. One paid inference call per tool invocation, regardless of how many items or questions it carries.
  • Provider agnostic. Use an OpenRouter key you already have, or a TypeSafe key. Switch with one environment variable.
  • Honest outputs. Answers are validated against the question you asked; inconsistent or incomplete answers fail the call instead of being fixed up. The unchanged provider response, including usage.cost, is always returned.
  • Safe by construction. Credentials live only in the server environment, HTTPS is enforced, redirects are refused, request and response sizes and time are bounded.

Quick start

1. Get an API key

  • OpenRouter (default): create a key at openrouter.ai and set OPENROUTER_API_KEY. Jev is listed as typesafe/jev-latest; the bare jev-latest id also works.
  • TypeSafe: create a key at typesafe.ai and set TYPESAFE_API_KEY together with JEV_PROVIDER=typesafe.

2. Install the server

Pick one:

Binary. Download the archive for your platform from Releases (Linux, macOS and Windows, amd64 and arm64), verify it against checksums.txt and put jev-mcp on your PATH.

Container. Images are published for every tagged release:

Terminal
docker pull ghcr.io/freepik-company/jev-mcp:latest

Go toolchain.

sh
go install github.com/freepik-company/jev-mcp/cmd/jev-mcp@latest

3. Register it in your MCP client

The server speaks MCP over stdio and reads the credential from its environment. Never put the key in tool arguments.

Claude Code

Terminal
claude mcp add jev -e OPENROUTER_API_KEY="$OPENROUTER_API_KEY" -- jev-mcp

Claude Desktop, Cursor and other JSON-configured clients

config.json
{
  "mcpServers": {
    "jev": {
      "command": "jev-mcp",
      "env": { "OPENROUTER_API_KEY": "sk-or-..." }
    }
  }
}

Container instead of a binary (use -i, never -t; the key is inherited from the client's environment):

config.json
{
  "mcpServers": {
    "jev": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "-e", "OPENROUTER_API_KEY", "ghcr.io/freepik-company/jev-mcp:latest"]
    }
  }
}

For TypeSafe directly, add "JEV_PROVIDER": "typesafe" and TYPESAFE_API_KEY instead of the OpenRouter key.

The server is also listed in the MCP Registry as io.github.freepik-company/jev-mcp, so clients that browse the registry can install it from there.

Configuration

VariableDefault / purpose
JEV_PROVIDERopenrouter or typesafe (default: openrouter)
OPENROUTER_API_KEYOpenRouter credential
TYPESAFE_API_KEYTypeSafe credential
API_KEYOverrides the selected provider's credential
JEV_MODELjev-latest; overridable per tool call with model
BASE_URLProvider API root; /v1/systemone is appended

Default roots: https://openrouter.ai/api and https://api.typesafe.ai. BASE_URL must be HTTPS; plain HTTP is accepted on loopback only, for local proxies and tests. Credentials belong in the server environment, never in tool arguments.

Tools

ToolInputResult
decideShared state and named questionsRaw typed answers and provider metadata
classifyitems, categories, instructionsCategory per item, confidence and probabilities
verifyclaims, evidencesupported, contradicted or insufficient_evidence per claim
rerankquery, candidates, optional top_kDescending relevance scores on a 0–4 rubric
list_modelsNo argumentsCompatible model IDs and the configured default

Items, claims, evidence and candidates are arrays of { "id": "unique-id", "text": "..." } with 1–64 entries. Categories map category IDs to descriptions. The three task tools accept an optional model, make one inference call, and return results plus the unchanged provider response (including response.usage.cost when supplied). Classification and verification preserve input order; ranking preserves it for ties. top_k filters results after evaluating every candidate. Inputs are never truncated.

Verification uses only supplied evidence; its verdict is a model judgment, not a proof or approval. No automatic acceptance thresholds are imposed. Model discovery uses OpenRouter's decisions catalogue or TypeSafe's native catalogue, without inference.

Example: decide

config.json
{
  "state": {"ticket": "Please refund the duplicate charge."},
  "questions": {
    "department": {
      "type": "choice",
      "instructions": "Which team should handle this ticket?",
      "criteria": {"billing": "Payments and refunds", "technical": "Software defects"}
    },
    "refund": {"type": "noul", "instructions": "Is a refund requested?"},
    "urgency": {
      "type": "score",
      "instructions": "How urgent is this ticket?",
      "criteria": ["Routine", "Service blocked", "Active financial harm"]
    }
  }
}

choice selects a supplied option; noul returns P(true); score returns a probability-weighted rubric index. Full provider output is preserved, including score legends and usage.cost when available.

Example: classify

config.json
{
  "instructions": "Route each support message to the right queue.",
  "categories": {
    "billing": "Charges, invoices and refunds",
    "technical": "Bugs, errors and outages",
    "other": "Anything else"
  },
  "items": [
    {"id": "m1", "text": "I was charged twice this month."},
    {"id": "m2", "text": "The export button does nothing."}
  ]
}

Returns one { "id", "category", "confidence", "probabilities" } per item, in input order, plus the full provider response.

Limits and failure modes

Unknown input fields and incomplete or inconsistent answers fail the call. Requests have a 30-second timeout, a 1 MiB input limit, and a 2 MiB response limit. Paid calls are not automatically retried. Provider errors surface only their HTTP status, never the response body, so a credential echoed by a provider cannot reach the model. See the input and output schemas for the complete contract.

Development

Only Docker is required:

sh
make test       # formatting, vet, race-enabled unit and integration tests
make image      # runtime image, tagged jev-mcp:local
make release    # archives and checksums for every platform in dist/

cmd/jev-mcp contains the entry point. internal/ separates configuration, the System One client and answer validation, the task layer and the MCP protocol. CI verifies builds and tests on every push and pull request; version tags publish release archives, the container image on GHCR and the entry in the MCP Registry.

See CONTRIBUTING.md for the workflow and design principles, SECURITY.md for reporting vulnerabilities and CHANGELOG.md for release notes.

License

Apache License 2.0. Jev and System One are products of TypeSafe AI; this project is an independent client and is not affiliated with TypeSafe or OpenRouter.

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Jev MCP

We don't have a confirmed install command for Jev MCP yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/freepik-company/jev-mcp) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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28Quality signal: Emerging · 28/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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