TypeSafe MCP

Name: TypeSafe MCP
Author: Renwang-Huang

by Renwang-Huangversion 0.5.2i★ 0iRuns on your computer

Registry nameio.github.Renwang-Huang/typesafe-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi2 of 2 passedChecked from public information; code not scanned yet
UsageiVery new↓ 82/wk · ★ 0

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: TYPESAFE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 2 of 2 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: TYPESAFE_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "typesafe": {
      "command": "uvx",
      "args": [
        "typesafe-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add typesafe --env TYPESAFE_API_KEY=your-value -- uvx typesafe-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "typesafe": {
      "command": "uvx",
      "args": [
        "typesafe-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "typesafe": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "typesafe-mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TYPESAFE_API_KEY secret required env
API key for TypeSafe AI Jev System One.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Renwang-Huang, which owns the repo
✓ Pass
Still maintained
Code last changed yesterday
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 19089 servers in this category
Published to the registry more recently than 47% of the other 19089 servers in this category
Basic checks equal to or better than 100% of the other 19089 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is TypeSafe MCP safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TYPESAFE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed yesterday, and the latest version (0.5.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.4KUpdated 5 days ago

Runs in the cloud✓ worldmonitor.app

Install

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Install

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Arbitype

Typed decision tools for AI agents.

Classify · Score · Verify · Gate · Route · Review

MCP-native · Powered by TypeSafe Jev

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:

export TYPESAFE_API_KEY="your-key"

uvx arbitype

For a pinned, reproducible launch:

uvx --from 'arbitype==0.7.0' arbitype

Or install the package into the current environment:

python -m pip install arbitype

arbitype

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:

arbitype setup --detect --dry-run

Then apply a reviewed plan:

arbitype setup codex

arbitype 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:

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:

python -m pip uninstall typesafe-mcp

python -m pip install arbitype

Surface	Canonical	Legacy compatibility
PyPI / CLI	arbitype	typesafe-mcp, typesafe-codex-mcp
Python imports	arbitype	typesafe_mcp, typesafe_codex_mcp
MCP tools	route, review	codex_route, codex_review

Why Arbitype?

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

Principle	What it means
Contract-first	Requests and provider responses are validated before they reach the agent.
Safe by default	Credentials stay out of MCP tool arguments and generated host configuration.
Agent-oriented	Purpose-built classify, verify, gate, route, review, and score primitives.
Portable	Zero third-party runtime dependencies and standard MCP STDIO.
Measured	Public tool-selection and decision-stability evaluation assets.

The decision flow is:

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:

Scenario	Tool	What it demonstrates
Support routing	route	Choose one next action without executing it.
PR verification	verify	Check several claims independently.
Release review	review / gate	Separate holistic review from thresholded checks.
Agent next step	route	Keep 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:

Tool	Use when	Result
evaluate	You need a custom typed Jev question set.	Raw typed Jev response.
classify	You need one choice from unordered labels.	Choice and probability distribution.
score	You need one ordered rating or level.	Weighted score and distribution.
check	You need a probability for one bounded criterion.	Noul yes/no probability.
verify	You need several named claims checked independently.	Noul answer per claim.
gate	You need checks and thresholds transformed into a signal.	pass, review, or fail.
route	You need one suggested next action.	One action; no action execution.
review	You need a holistic quality or risk assessment.	Review decision and evidence.
health	You need local diagnostics or an explicit live check.	Configuration and optional provider health.

Tool Selection Guide

Need	Use	Do not substitute
One unordered label	classify	route, which selects an action
One ordered rating	score	classify, which has no order
One bounded proposition	check	verify, which handles multiple claims
Several named claims	verify	review, which assesses a whole object
Checks plus thresholds	gate	review, which is holistic
One next action	route	classify, which returns a category
Whole diff, plan, release, or report	review	verify, 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

flowchart LR

host["AI Agent / MCP Host Codex · Claude · Cursor · VS Code"] arbitype["Arbitype Typed decision tools"] jev["TypeSafe Jev System One Model"] env["TYPESAFE_API_KEY process environment"]

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:

Metric	Result
Tool-selection accuracy	96.67%
Invalid-tool rate	0%
Schema-valid rate	100%

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

Host setup
Configuration reference
MCP Registry migration
Supply-chain posture
Observability proposal
Testing
Benchmarks
Contributing
Security
Official MCP Registry entry
Glama listing (indexing and metadata refresh may lag publication)

Development

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

python3 -m unittest discover -s tests -v

python3 -m compileall -q . make check make 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:

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

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

TypeSafe MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

World Monitor

Claude Flow

Tldraw

README from the maker

Arbitype

What is Arbitype?

Quick Start

Host setup

Configuration

Compatibility

Why Arbitype?

Real Use Cases

Tools

Tool Selection Guide

Architecture

Benchmark Snapshot

Security Boundaries

Documentation

Development