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"Testing Local AI Agents in LMStudio for Computer Use and Code Execution Tasks" matching MCP servers:
- -securityFlicense-qualityEnables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.Last updated a month ago
- -securityAlicense-qualityEnables AI agents to manage n8n workflow automation instances through tools for workflow CRUD operations, execution monitoring, and webhook triggering. It facilitates programmatic interaction with n8n instances via the n8n API with AI-optimized descriptions and error handling.Last updated 9 months ago54MIT
- -securityAlicense-qualityA multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.Last updated 4 months agoMIT
- -securityFlicense-qualityEnables execution of code in a sandbox environment with integrated web search capabilities. Provides a basic framework for running code safely, primarily designed for AI agents and research applications.Last updated 7 months ago13
- AsecurityAlicenseAqualityExecutes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.Last updated 4 months ago1319GPL 3.0