Octopus Deploy MCP Server

Octopus Deploy MCP Server

A server that enables interaction with Octopus Deploy through the Model Context Protocol, allowing users to manage projects, releases, and deployments across different spaces.

Category
访问服务器

README

Octopus Deploy MCP Server

A Model Context Protocol (MCP) server for interacting with Octopus Deploy. This server provides tools for managing projects, releases, and deployments through the MCP protocol.

Features

  • Project Management: List and query Octopus Deploy projects
  • Release Management: Get latest releases and create new releases
  • Deployment Management: Deploy releases and check deployment status
  • Multi-Space Support: Work with different Octopus Deploy spaces
  • Docker Support: Containerized deployment for easy integration

Installation

1. Clone the Repository

git clone https://github.com/armanzeroeight/octopus-deploy-mcp-server.git
cd octopus-deploy-mcp

2. Build Docker Image

./scripts/build.sh

This will create a Docker image tagged as octopus-deploy-mcp:latest.

MCP Configuration

Add the following configuration to your MCP client's mcp.json file:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "octopus-api-key",
      "description": "Octopus Deploy API key",
      "password": true
    }
  ],
  "servers": {
    "octopus-deploy-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "OCTOPUS_URL",
        "-e",
        "OCTOPUS_API_KEY",
        "octopus-deploy-mcp:latest",
        "octopus-deploy-mcp"
      ],
      "env": {
        "OCTOPUS_URL": "https://your-octopus-server.com",
        "OCTOPUS_API_KEY": "${input:octopus-api-key}"
      }
    }
  }
}

Configuration Notes

  • Replace https://your-octopus-server.com with your actual Octopus Deploy server URL (without /api suffix)
  • The API key will be prompted securely when the MCP client starts
  • The Docker image must be built locally using the build script

Available Tools

Project Tools

  • list_projects: List all projects in a space
  • get_project_details: Get detailed information about a specific project

Release Tools

  • get_latest_release: Get the latest release for a project
  • create_release: Create a new release for a project

Deployment Tools

  • deploy_release: Deploy a release to an environment
  • check_deployment_status: Check the status of deployments

Development

Local Setup (without Docker)

# Install UV if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install dependencies
uv sync

# Set up environment variables
cp .env.sh.example .env.sh
# Edit .env.sh with your Octopus Deploy credentials

# Run the server directly
source .env.sh

# Install the package in editable mode
uv pip install -e .
uv run octopus-deploy-mcp

# Or use fastmcp-cli tool for development
fastmcp dev dev.py

Testing Docker Build

# Test the Docker image locally
./scripts/test-docker.sh

Requirements

  • Docker
  • Your Octopus Deploy server URL
  • Valid Octopus Deploy API key with appropriate permissions

Troubleshooting

Common Issues

  1. "Space 'Default' not found"

    • Verify your Octopus server URL is correct
    • Check that your API key has access to the specified space
    • Ensure the space name exists (case-sensitive)
  2. "Authentication failed"

    • Verify your API key is correct and hasn't expired
    • Check that the API key has the necessary permissions
  3. Docker build fails

    • Ensure Docker is running
    • Check that you have sufficient disk space
    • Verify internet connectivity for downloading dependencies

Debug Mode

The server automatically enables debug logging. Check the MCP client logs for detailed error information.

Support

For issues and questions, please create an issue on GitHub.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选