genpark-just-in-time-mcp-tool-compiler-skill
OfficialEnables Meta Muse runtime frameworks to dynamically synthesize and compile MCP tools for agent execution.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-just-in-time-mcp-tool-compiler-skillcreate a safe Python tool that reverses a string and hot-plug it"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-just-in-time-mcp-tool-compiler-skill
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
🌟 Overview
genpark-just-in-time-mcp-tool-compiler-skill delivers robust, industrial-grade capabilities engineered for Multi-Agent Collaborative Swarms and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Autonomous Just-In-Time MCP Tool Synthesizer & Sandboxed Compiler (inspired by Manus Generalist Sandbox). Dynamically generates typed MCP tool schemas, validates Python execution AST trees against unsafe imports, compiles sandboxed callable handlers, and hot-plugs them into the active agent runtime.
💡 Key Capabilities
Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without
pip installoverhead or supply-chain vulnerabilities.Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and Tencent WorkBuddy runtime frameworks.
Deterministic & Safe: Rigorous mathematical synchronization models, cryptographic hashing, AST syntax trees, and strict policy boundary validation.
High Concurrency & Low Latency: In-memory thread-safe state synchronization, vector clock resolution, and high-throughput regex scanners.
Related MCP server: codemodekit
🚀 Quickstart
1. Direct Python Usage
from client import JustInTimeMCPToolCompiler
client = JustInTimeMCPToolCompiler()
result = client.synthesize_and_compile_tool()
print(result)2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
python mcp_server.pyVerify standard compliance and self-tests:
python mcp_server.py --test3. Claude Desktop / Cursor MCP Configuration
Add this tool to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"genpark-just-in-time-mcp-tool-compiler-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-just-in-time-mcp-tool-compiler-skill/mcp_server.py"]
}
}
}🛠️ Verification & Testing
Run the included verification suite:
python example_usage.py📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.
Related MCP Connectors
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Search, vet & assemble MCP servers from your agent: verified tools, risk labels, and trust scores.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceA production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.66MIT
- AlicenseNot gradedqualityAmaintenanceEnables building safe, programmable Code Mode MCP servers from upstream tool sources, with model-authored TypeScript running in a sandbox and tool calls routed to trusted host-side providers.1Apache 2.0
- AlicenseAqualityBmaintenanceEnables building and running zero-dependency MCP servers with automatic JSON Schema generation, exposing Python tools to Claude Desktop, Cursor, and autonomous agent fleets.2Apache 2.0
- AlicenseAqualityAmaintenanceProduction-grade MCP server providing deterministic evaluation, AST sandboxed execution, DNS routing audit, and runtime guardrails for autonomous LLM agents.6MIT