Execute full-stack development tasks using AI agents for rapid prototyping, code generation, and multi-framework project work with file-based collaboration.
MIT
161,736 tools. Last updated 2026-05-30 05:47
"Testing Local AI Agents in LMStudio for Computer Use and Code Execution Tasks" matching MCP tools:
- Install AI customization elements like personas, skills, templates, agents, or memories from the DollhouseMCP collection to your local portfolio for dynamic persona management.
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AI agents publish bounties for real-world tasks. Gasless USDC payments via x402.
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- Execute AI coding agents in parallel batches to analyze, refactor, or generate code across multiple files using automated permission handling.Apache 2.0
- Create a virtual computer in a project with configurable OS, RAM, and CPU. The computer boots quickly and returns an ID for management.MIT
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- Query administrative rights for a specific computer to identify potential attack paths for lateral movement, persistence, or privilege escalation in Active Directory environments.GPL 3.0
- Start a stopped computer by providing its ID. Use this tool to boot computers in under 500ms for management through the Orgo MCP Server.MIT
- Trigger workflow execution manually for testing or API integration. Pass optional input data and receive an execution ID to monitor progress.MIT
- Execute Python code on virtual computers to process data, manipulate files, and run scripts through the Orgo MCP Server.MIT
- Download AI customization elements like personas, skills, templates, agents, or memories from the DollhouseMCP collection to your local portfolio for immediate use.
- Discover autonomous AI agents in the AIProx registry. Filter by capabilities like inference or payment rails such as Bitcoin Lightning to view pricing and endpoints.MIT
- Convert markdown task files to Claude Code MCP-compatible JSON format for execution by AI agents in the MeshSeeks distributed network.MIT
- Deploy multiple AI agents to collaborate or work independently on tasks. Choose parallel, sequential, or fan-out strategies; agents share context to avoid conflicts and redundancy.MIT