JIT Tool Synthesis

JIT Tool Synthesis

Enables on-demand generation of TypeScript tools using an LLM with human-in-the-loop approval and safe sandboxed execution. It allows users to create and persist custom functionality through natural language requests.

Category
Visit Server

README

JIT Tool Synthesis v2

LLM-powered on-demand tool generation with human-in-the-loop approval and safe execution.

Overview

This system generates TypeScript tools dynamically using an LLM, requires human approval before execution, and runs them in a sandboxed environment.

Architecture

┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│ Synthesizer │────▶│   Approval   │────▶│  Sandbox    │
│   (LLM)     │     │ (Human Gate) │     │ (Execution) │
└─────────────┘     └──────────────┘     └─────────────┘
       │                   │                    │
       ▼                   ▼                    ▼
  Generates TS        Waits for            Runs in
  tool code          human approval       isolated env

Components

File Purpose
synthesizer.ts Generates TypeScript code using OpenRouter LLM
approval.ts Human-in-the-loop gate — requires approval before execution
sandbox.ts Safe execution environment for generated code
registry.ts Tool persistence and storage
server.ts MCP server integration

Setup

# Install dependencies
npm install

# Copy environment template
cp .env.example .env

# Add your OpenRouter API key to .env
OPENROUTER_API_KEY=your_key_here

Usage

Start the MCP Server

npm run dev

Claude Desktop Integration

Import the config:

# Copy Claude Desktop config
cat claude-desktop-config.json

Add the JSON to your Claude Desktop settings under mcpServers.

CLI Commands

# Generate and approve a tool
npm run cli -- synthesize "Create a weather tool that fetches from wttr.in"

# List available tools
npm run cli -- list

# Execute a tool
npm run cli -- execute <tool-id>

Workflow

  1. Request — User asks for a tool (e.g., "create a weather fetcher")
  2. Synthesize — LLM generates TypeScript code
  3. Approve — Human reviews and approves the code
  4. Execute — Tool runs in sandboxed environment
  5. Store — Approved tools persist in registry

Environment Variables

Variable Description
OPENROUTER_API_KEY API key for LLM tool generation
PORT Server port (default: 3000)

Status

In Progress — MVP complete, end-to-end testing in progress.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured