
Jev MCP
io.github.freepik-companyPublished by GitHub account freepik-companyv0.3.1Updated Oct 24, 2026
Typed decisions with Jev / System One via OpenRouter or TypeSafe: classify, verify, rerank, decide.
Overview
A local MCP server that gives an assistant typed, probabilistic decisions from Jev (System One) via OpenRouter or TypeSafe: classify, verify, rerank and decide.
- What you can do
- Classify items into categories you define, with confidence and probabilities per item, in input order. Verify claims against supplied evidence, returning supported, contradicted or insufficient evidence. Rerank candidates against a query on a 0-4 relevance rubric, with optional top-k filtering. Ask named typed questions (choice, yes/no probability, or scale score) over a shared state and get calibrated answers. List compatible model IDs and the configured default model.
- When to use it
- Useful when an agent needs explicit, low-cost decisions rather than free-text guesses: routing or triage of tickets and messages, claim checking against evidence, ranking search candidates, or small classification steps inside a workflow.
- Requirements
- Runs locally over stdio as a binary, container image or Go install. Needs an API key in the server environment: OPENROUTER_API_KEY for the default provider, or TYPESAFE_API_KEY with JEV_PROVIDER set to typesafe. Optional settings include JEV_MODEL and BASE_URL; outbound HTTPS network access is required.
Installation
In SourceWeft
- Open Jev MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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 astypesafe/jev-latest; the barejev-latestid also works. - TypeSafe: create a key at typesafe.ai and set
TYPESAFE_API_KEYtogether withJEV_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:
Go toolchain.
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
Claude Desktop, Cursor and other JSON-configured clients
Container instead of a binary (use -i, never -t; the key is inherited
from the client's environment):
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
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
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
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
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:
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.
Source: README.md at commit 05750bb
Tools
0Version history
2- v0.3.1LatestSep 28, 2026
- v0.3.0Sep 21, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts