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by port-experimental • Automation & Orchestration
An MCP server that exposes Port (Port.io) APIs so agents and developer tools can query and manage blueprints, entities, scorecards, and automation features via the Model Context Protocol.
Fetch and summarize service or entity metadata (owners, on-call status, catalog counts) from a Port instance.
Analyze and report on scorecards and compliance (find failing services, missing controls, and improvement actions).
Create or update Port resources programmatically (blueprints, entities, scorecards, rules, and RBAC policies) from developer tools or automation pipelines.
Port MCP Server provides a Model Context Protocol (MCP) interface to Port (Port.io) functionality, allowing LLM agents and developer tools to list and manage blueprints, entities, scorecards, and invoke AI agents. It includes tools for creating/updating/deleting resources, inspecting catalog and on-call data, and configuring RBAC and quality gates. The server is distributable via Docker or a Python package and integrates with clients like Claude Desktop, Cursor, VS Code, and Neovim for local development and automated workflows.
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