TypeSafe MCP

io.github.Renwang-Huang由 GitHub 帳號 Renwang-Huang 發布v0.5.2更新於 Oct 24, 2026

Host-neutral MCP bridge for TypeSafe AI Jev judgments with typed review, routing, and gate tools.

發布方自己的服務:Google Analytics (unofficial)

已驗證STDIO僅桌面開發者工具AI 與機器學習

概覽

AI 產生的概覽

為助理提供型別化決策原語——分類、評分、檢查、驗證、閘控、路由、審查——由 TypeSafe Jev 模型驅動。

可以做什麼
Arbitype 是一個本機 MCP 橋接層,把自由形式的輸入轉為結構化決策。它提供九個唯讀、冪等的工具:evaluate、classify、score、check、verify、gate、route、review 與 health。每個工具回傳型別化結果,例如帶機率分布的標籤、pass/review/fail 訊號,或一項建議的下一步動作。工具說明中標示了適用與不適用的情境。
適用情境
當助理需要有限定的結構化判斷而非自由文字時使用:從無序標籤中選一個、依有序等級評分、逐條查核具名主張、對檢查項做門檻判斷,或選擇一項下一步動作。它只提供建議,不會執行所建議的動作。
執行需求
以 uvx 啟動的本機程序(PyPI 套件 typesafe-mcp,或標準發行版 arbitype)。需要環境變數 TYPESAFE_API_KEY,可選 TYPESAFE_MODEL。需透過 HTTPS 存取 TypeSafe Jev 提供方。僅限桌面端;未宣告 MCP 驗證。
安裝前請注意
必要的 TYPESAFE_API_KEY 是保存在程序環境中的真實憑證;即時提供方檢查為選用且需付費。機率與信心度只是模型訊號,並非證明;gate 與 review 僅為建議性判斷轉換,不是授權或核准系統。專案聲明其並非 TypeSafe AI 官方產品,也不會執行建議動作、編輯檔案或執行 shell 指令。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 TypeSafe MCP,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Arbitype

Typed decision tools for AI agents.

Classify · Score · Verify · Gate · Route · Review

MCP-native · Powered by TypeSafe Jev

[CI] [Latest release] [Arbitype on PyPI] [MIT license] [Python 3.10 or newer] [MCP 2026-07-28] [Arbitype listed in the MCP Registry]

Quick start · Why Arbitype? · Tools · Benchmarks · Documentation

What is Arbitype?

Arbitype is an MCP-native typed decision layer for AI agents, powered by TypeSafe Jev. It turns probabilistic judgments into structured decision primitives that an agent or program can consume directly.

Arbitype is available on PyPI and the official MCP Registry.

[!NOTE] Arbitype is an independent open-source project. It is not an official TypeSafe AI product or an official integration for any particular agent host.

Quick Start

The fastest way to connect an MCP host is a local STDIO server launched by uvx:

bash
export TYPESAFE_API_KEY="your-key"uvx arbitype

For a pinned, reproducible launch:

bash
uvx --from 'arbitype==0.7.0' arbitype

Or install the package into the current environment:

bash
python -m pip install arbitypearbitype

The API key stays in the process environment. It is not an MCP argument and is never printed to standard output.

Host setup

Inspect detected hosts before writing anything:

bash
arbitype setup --detect --dry-run

Then apply a reviewed plan:

bash
arbitype setup codexarbitype doctor --json

The setup flow is plan → unified diff → confirmation → backup → apply. Use claude, cursor, or vscode in place of codex. Detailed host formats, secret forwarding, --yes, --remove, ownership, and non-interactive behavior are documented in docs/HOST_SETUP.md.

Configuration

At minimum, set TYPESAFE_API_KEY. To select a model explicitly:

bash
export TYPESAFE_API_KEY="your-key"export TYPESAFE_MODEL="jev-latest"

See the full configuration reference for endpoints, timeouts, retries, and request/response limits.

Compatibility

arbitype is the canonical distribution, Python package, and CLI. Existing TypeSafe MCP users should migrate to Arbitype; see docs/REGISTRY_MIGRATION.md.

For the safe migration from the historical distribution:

bash
python -m pip uninstall typesafe-mcppython -m pip install arbitype
SurfaceCanonicalLegacy compatibility
PyPI / CLIarbitypetypesafe-mcp, typesafe-codex-mcp
Python importsarbitypetypesafe_mcp, typesafe_codex_mcp
MCP toolsroute, reviewcodex_route, codex_review

Why Arbitype?

Arbitype is designed around contracts and bounded decisions rather than free-form prose:

PrincipleWhat it means
Contract-firstRequests and provider responses are validated before they reach the agent.
Safe by defaultCredentials stay out of MCP tool arguments and generated host configuration.
Agent-orientedPurpose-built classify, verify, gate, route, review, and score primitives.
PortableZero third-party runtime dependencies and standard MCP STDIO.
MeasuredPublic tool-selection and decision-stability evaluation assets.

The decision flow is:

text
free-form state      ↓  TypeSafe Jev      ↓probabilistic judgment      ↓    Arbitype      ↓typed decision + probability      ↓agent / code branch

Real Use Cases

Start with one of the small, runnable fixtures:

ScenarioToolWhat it demonstrates
Support routingrouteChoose one next action without executing it.
PR verificationverifyCheck several claims independently.
Release reviewreview / gateSeparate holistic review from thresholded checks.
Agent next steprouteKeep the next workflow action bounded.

The example outputs are illustrative fixtures. They are not live model results, accuracy claims, or authorization decisions.

Tools

Arbitype advertises nine read-only, idempotent MCP tools:

ToolUse whenResult
evaluateYou need a custom typed Jev question set.Raw typed Jev response.
classifyYou need one choice from unordered labels.Choice and probability distribution.
scoreYou need one ordered rating or level.Weighted score and distribution.
checkYou need a probability for one bounded criterion.Noul yes/no probability.
verifyYou need several named claims checked independently.Noul answer per claim.
gateYou need checks and thresholds transformed into a signal.pass, review, or fail.
routeYou need one suggested next action.One action; no action execution.
reviewYou need a holistic quality or risk assessment.Review decision and evidence.
healthYou need local diagnostics or an explicit live check.Configuration and optional provider health.

Tool Selection Guide

NeedUseDo not substitute
One unordered labelclassifyroute, which selects an action
One ordered ratingscoreclassify, which has no order
One bounded propositioncheckverify, which handles multiple claims
Several named claimsverifyreview, which assesses a whole object
Checks plus thresholdsgatereview, which is holistic
One next actionrouteclassify, which returns a category
Whole diff, plan, release, or reportreviewverify, which answers claim by claim

Tool descriptions also state USE WHEN and DO NOT USE WHEN boundaries so hosts can select a primitive without hidden prompt conventions.

Probabilities and confidence are model signals, not proof. gate and review are advisory decision transformations, not authorization systems, security boundaries, or approval engines.

Architecture

mermaid
flowchart LR    host["AI Agent / MCP Host<br/>Codex · Claude · Cursor · VS Code"]    arbitype["Arbitype<br/>Typed decision tools"]    jev["TypeSafe Jev<br/>System One Model"]    env["TYPESAFE_API_KEY<br/>process environment"]
    host -->|MCP| arbitype    arbitype -->|validated HTTPS| jev    jev -->|typed probabilistic judgment| arbitype    arbitype -->|structured decision| host    env -. credential .-> arbitype

The public product is Arbitype; TypeSafe Jev is the current provider. Provider configuration intentionally keeps the TYPESAFE_* names because the credential and endpoint belong to TypeSafe.

Benchmark Snapshot

Recorded on the public 120-case Jev-mediated tool-selection evaluation:

MetricResult
Tool-selection accuracy96.67%
Invalid-tool rate0%
Schema-valid rate100%

This is a Jev-mediated evaluation over Arbitype's advertised MCP tool catalog. It is not a Codex, Claude, or Cursor host benchmark and is not a general model-performance guarantee.

Details and reproducible assets:

Security Boundaries

Arbitype is a local MCP adapter and typed decision layer. It is not:

  • a sandbox for untrusted code;
  • an authorization or identity system;
  • a prompt-injection firewall;
  • a security approval boundary; or
  • an official TypeSafe AI product.

It does not execute actions suggested by route, edit files, run shell commands, or treat model probabilities as proof. Read SECURITY.md before using live credentials.

Documentation

Development

The test suite uses local fakes and does not need an API key:

bash
python3 -m unittest discover -s tests -vpython3 -m compileall -q .make checkmake release-check

The official MCP Python SDK interoperability smoke test is in scripts/official_sdk_smoke.py. A live Jev check is opt-in and paid:

bash
TYPESAFE_API_KEY="your-key" arbitype doctor --live

Normal CI does not call the provider or run paid benchmarks.

來源:README.md,提交 e0c3bc3

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.5.2最新Sep 21, 2026

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