Typesafe MCP — AI skill for Claude Code
An mcp connector to evaluate anything fast and cheap.
How to install Typesafe MCP
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open itsmostafa/typesafe-mcp and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Typesafe MCP does
An mcp connector to evaluate anything fast and cheap. Give your AI agent direct access to typesafe ai's jev model.
Alternatives in AI
- Welcome — AI Research Skills — You now have access to 86 production-ready skills covering the entire AI research lifecycle: literature survey 5.4k ★
- Bot On Anything — A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) i 4.2k ★
- Fast Agent — Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support 3.7k ★
README
Typesafe MCP
**Give your AI agent typed decisions instead of free text.** `evaluate` is an MCP server that lets Claude Code, Claude Desktop, Codex, and [pi](https://pi.dev) call [TypeSafe](https://typesafe.ai)'s Jev model and get back probabilities they can branch on. One command, `evaluate setup mcp`, registers it with the first three (if detected); `evaluate setup pi` covers pi.
[](https://github.com/itsmostafa/typesafe-mcp/releases/latest) [](LICENSE) 
┌──────────────┐ evaluate ┌──────────┐ POST /v1/systemone ┌──────────────┐
│ Claude Code │ ──────────▶ │ evaluate │ ───────────────────▶ │ TypeSafe API │
│ Claude Desk. │ (stdio) │ (MCP) │ retries 429 / 529 │ ── or ── │
│ Codex │ │ │ │ OpenRouter │
│ pi │ ◀────────── │ │ ◀─────────────────── │ │
└──────────────┘ typed JSON └──────────┘ POST /decisions └──────────────┘
Why this exists
**Problem:** When an agent needs a yes/no call, a routing decision, or a severity rating, it usually asks an LLM, then parses prose and hopes the format holds. The answer has no probability attached, so the agent cannot tell a confident "yes" from a coin flip.
**Solution:** `evaluate` exposes one tool, `evaluate`, that sends state plus typed questions to Jev and returns structured answers with probabilities. Nothing to parse and no prompt formatting to maintain. `evaluate setup mcp` wires it into Claude Desktop, Claude Code, and Codex in one step, and `evaluate setup pi` installs the equivalent extension for pi.
Quickstart
**1. Install** (macOS and Linux, amd64 and arm64):
curl -fsSL https://raw.githubusercontent.com/itsmostafa/typesafe-mcp/main/install.s
Related Skills
Jev Flash Router
open-sourced jev-flash-router: an MCP server for TypeSafe's new Jev model. AI coding agents waste hundreds of
Polyagent MCP
Let any AI agent (Claude Code, Codex, Gemini/Antigravity) delegate to the Cursor CLI agent via MCP: cheap/fast
Cursor MCP Bridge
Let any AI agent (Claude Code, Codex, Gemini/Antigravity) delegate to the Cursor CLI agent via MCP: cheap/fast
Jev Pruner
Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it
Ha Direct Access Skill
Claude skill for Home Assistant — direct SSH + REST API access from claude.ai Projects via Desktop Commander.
Canny
Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev
Related Agents
Genius Fable
Tier-1 genius worker on Fable. Use for architecture decisions, subtle bugs, algorithm and data-model design, s
Typesafe Adversary
Red-teams TypeSafe integrations before users do. Probes the nine documented Jev failure modes, tests prompt in
Auth Engineer
Authentication and access-control specialist for SMB Product-Builder products. Owns the auth contract — provid