
Jev MCP
io.github.freepik-company由 GitHub 账号 freepik-company 发布v0.3.1更新于 Oct 24, 2026
Typed decisions with Jev / System One via OpenRouter or TypeSafe: classify, verify, rerank, decide.
概览
一个本地 MCP 服务器,通过 OpenRouter 或 TypeSafe 调用 Jev(System One),让助手获得带类型的概率化决策:分类、核验、重排与决策。
- 可以做什么
- 按自定义类别对条目分类,返回每条的类别、置信度与概率分布,并保持输入顺序。依据提供的证据核验论断,返回支持、矛盾或证据不足。按查询对候选进行相关性重排,采用 0-4 分标准,可选 top-k 过滤。针对共享状态提出具名类型化问题(选项、是/否概率或量表评分),获得校准后的答案。列出兼容的模型 ID 与当前配置的默认模型。
- 适用场景
- 适合需要明确、低成本决策而非自由文本猜测的场景:工单与消息的路由分流、依据证据核查论断、对搜索候选排序,或工作流中的小型分类步骤。
- 运行要求
- 以二进制、容器镜像或 Go 安装方式在本地通过 stdio 运行。需要在服务器环境中提供 API 密钥:默认提供方使用 OPENROUTER_API_KEY,或设置 JEV_PROVIDER 为 typesafe 并使用 TYPESAFE_API_KEY。可选配置包括 JEV_MODEL 与 BASE_URL;需要对外 HTTPS 网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Jev MCP,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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.
来源:README.md,提交 05750bb
工具
0版本历史
2- v0.3.1最新Sep 28, 2026
- v0.3.0Sep 21, 2026
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