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Lets AI agents create, build, and wire repositories with Octopilot CI/CD.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "octopilot-mcp" yet — see the docs or source repo.
Use octopilot-mcp to create a new repository for a Python FastAPI service, set up the base structure, Dockerfile, CI/CD configuration, and deployment workflow, and explain what was generated at each step.
Returns the created repository structure, build and deployment configs, and a step-by-step summary of what was generated.
Inspect this existing Node.js repository for missing automation pieces, then use octopilot-mcp to add build, test, release, and environment wiring configuration.
Outputs the completed pipeline plan, suggested config file changes, and the resulting execution flow after integration.
Use octopilot-mcp to generate standardized scaffolding for three microservice repositories, with unified build rules, test workflows, and deployment templates.
Returns standardized initialization results for multiple repositories plus an overview of unified build, testing, and deployment settings.
Connect to the mcp API via MCP to extend AI tool capabilities.
Use full Git operations through MCP to manage repositories and collaboration.
Help AI agents navigate, search, and understand codebases and change history.
Coordinate multiple AI agents on software projects with shared tasks and context.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Connect AI agents to control local JupyterLab for coding and analysis.