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Octopus Deploy Official Mcp Server

@OctopusDeploy

The Octopus MCP Server provides your AI assistant with powerful tools that allow it to inspect, query, and diagnose problems within your Octopus instance, transforming it into your ultimate DevOps wingmate.

概览

What is Octopus Deploy Official MCP Server?

The Octopus Deploy Official MCP Server connects AI assistants (such as Claude Code or ChatGPT) to an Octopus Deploy instance via the Model Context Protocol. It provides tools to inspect, query, and diagnose problems within the Octopus instance, acting as a DevOps assistant. This server is intended for users of Octopus Deploy who want AI-driven interaction with their deployment, release, and operations workflows.

How to use Octopus Deploy Official MCP Server?

Installation requires Node.js >= v20.0.0, an Octopus Deploy instance accessible via HTTPS, and an API Key. Configure the server in your AI client (e.g., Claude Desktop, Claude Code, Cursor) using the npx command with arguments --api-key and --server-url, or by setting the OCTOPUS_API_KEY and OCTOPUS_SERVER_URL environment variables.

Key features of Octopus Deploy Official MCP Server

  • Inspect Octopus instance resources and status.
  • Query deployments, releases, and other data.
  • Diagnose problems within Octopus deployments.
  • Uses stable APIs from Octopus Server 2021.1+.
  • Command‑line argument to list tools by version.
  • Early Access (subject to breaking changes).

Use cases of Octopus Deploy Official MCP Server

  • Inspecting Octopus instance configuration and health.
  • Querying release and deployment history for specific projects.
  • Diagnosing failed deployments or operational issues.
  • Checking environment status and machine policies.

FAQ from Octopus Deploy Official MCP Server

What are the system requirements?

Node.js >= v20.0.0, an Octopus Deploy instance accessible via HTTPS, and a valid Octopus Deploy API Key.

Which Octopus Server versions are compatible?

Most tools use APIs available from Octopus Server 2021.1. Newer tools may require a later version; the --list-tools-by-version argument shows version relationships.

How is the server configured?

Configuration is done in your AI client using the npx command with --server-url and --api-key arguments, or via the OCTOPUS_SERVER_URL and OCTOPUS_API_KEY environment variables.

Which AI clients are supported?

The README gives configuration examples for Claude Desktop, Claude Code, and Cursor.

Is the server stable?

The project is currently in Early Access and subject to breaking changes.

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