Enables AI agents to generate complete, runnable MCP server projects from natural-language tool descriptions, including schema, implementation, tests, README, and license.
AI-powered Odoo engineering platform providing static analysis, domain knowledge, and 14 MCP tools for code review, model exploration, and security auditing of Odoo modules.
Enables offline AI agent automation with embedded local LLM (Qwen 2.5), sandboxed file operations through AgentFS, and dynamic skill loading. Exposes capabilities via MCP with tri-state safety guards for private, air-gapped environments without network connectivity or API costs.
Local MCP server that gives AI agents a project constitution (LAWS.md), a code graph (Compass), and a spec-driven workflow — all 100% local with no LLM or cloud.
Generates production-ready MCP servers with dual-mode (MCP + CLI) architecture, tests, and documentation. Includes progressive disclosure tools for AI agents and best practices guidance.
A privacy-first MCP server that provides local LLM-enhanced tools for code analysis, security scanning, and automated task execution using backends like Ollama and LM Studio. It enables symbol-aware code reviews and workspace exploration while ensuring that all code and analysis remain strictly on your local machine.