Deterministic sandboxed virtual code execution engine and AST security analyzer verifying multi-language agent code, blocking dangerous syscalls, and capturing isolated execution telemetry.
genpark-agent-sandboxed-virtual-code-runner-skill
Production-Grade AI Agent Infrastructure Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
genpark-agent-sandboxed-virtual-code-runner-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server designed for autonomous AI agents, multi-agent frameworks (LangGraph, CrewAI, AutoGen, OpenAI Swarm), and developer environments (Cursor, Windsurf, Claude Desktop).
Executive Capability: Deterministic sandboxed virtual code execution engine and AST security analyzer verifying multi-language agent code, blocking dangerous syscalls, and capturing isolated execution telemetry.
⚡ Key Highlights 🐍 Zero External pip Dependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution. 🔌 Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio. ⚡ Sub-Millisecond Execution: Slashes token burn and latency by resolving routine agent tasks deterministically without frontier LLM round-trips. 🛡️ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
Parameter Type Required Description ------:---:--- payload string / dict Yes Primary context, code, schema, or content input options dict No Execution flags, compression ratios, or risk bounds
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/alphaparkinc--genpark-agent-sandboxed-virtual-code-runner-skill.html)
Atomic claim decomposition and cross-context fact verification engine detecting ungrounded claims, numerical contradictions, and hallucinated entities against reference knowledge.
alphaparkinc/genpark-agent-hallucination-fact-verifier-skillAtomic claim decomposition and cross-context fact verification engine detecting ungrounded claims, numerical contradictions, and hallucinated entities against reference knowledge.
Alpha-Park/genpark-agent-json-schema-auto-repair-skillInstant zero-LLM deterministic JSON extractor & schema auto-repair engine healing truncated braces, markdown wrappers & invalid types.
Alpha-Park/genpark-agent-hybrid-memory-retriever-skillProduction-grade hybrid sparse-dense memory retrieval engine combining BM25 keyword search, semantic n-gram cosine similarity, and recency decay ranking for agent episodic long-term memory.
alphaparkinc/genpark-agent-dynamic-few-shot-example-selector-skillDynamic few-shot in-context exemplar selector utilizing semantic token overlap, cosine similarity and Maximal Marginal Relevance (MMR) diversity ranking for prompt optimization.
alphaparkinc/genpark-agent-tool-dag-speculative-prefetcher-skillTopological tool dependency DAG scheduler and speculative prefetcher resolving agent tool execution graphs with parallel batching and speculative argument evaluation.
The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.