Alibaba Cloud FC MCP Server

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Alibaba Cloud FC MCP Server

本项目是基于 Serverless Devs 和 OpenAPI 的阿里云函数计算（FC）服务 MCP 服务。

使用场景

将阿里云函数计算能力集成到支持 MCP 客户端的 Agent 应用中（例如 Cursor、Claude、Cline）。

前提条件

1. 安装 Node.js（需要 18 或更高版本）。
2. 准备阿里云凭证（AccessKeyId 和 AccessKeySecret）。建议授予以下权限：
   • AdministratorAccess（建议授予，以获得完整功能），或至少授予：
   • AliyunFCFullAccess（必需）
   • AliyunDevsFullAccess（建议）
   • AliyunVPCFullAccess（建议）
   • AliyunLogFullAccess（建议）
   • AliyunEventBridgeFullAccess（可选）

快速开始

方法 1：从 npm 包启动［推荐 MCP 服务用户使用］

可以使用以下命令以 stdio 模式启动 MCP 服务：

ALIBABA_CLOUD_ACCESS_KEY_ID=${your-access-key-id} ALIBABA_CLOUD_ACCESS_KEY_SECRET=${your-access-key-secret} npx alibabacloud-fc-mcp-server

使用 Cursor［推荐］

• 点击 或编辑 Cursor 配置文件（文档），并添加以下配置：

"alibabacloud-fc-mcp-server": {
    "command": "npx",
    "args": ["-y", "alibabacloud-fc-mcp-server"],
    "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "${your-access-key-id}",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "${your-access-key-secret}"
    }
}

• 创建一个新的空项目并在 Cursor 中打开。在 Agent 模式下与 Cursor 聊天。输入下面的 Prompts，引导对话。

• 让 Cursor Agent 生成一个 2048 游戏项目，然后要求 Agent 将其部署到阿里云函数计算。

• 等待 Agent 生成项目并将其部署到阿里云函数计算。

使用 Cline

编辑 Cline 配置文件（文档），并添加以下配置：

"alibabacloud-fc-mcp-server": {
    "command": "npx",
    "args": ["-y", "alibabacloud-fc-mcp-server"],
    "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "${your-access-key-id}",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "${your-access-key-secret}"
    }
}

方法 2：从源代码启动［推荐 MCP 服务开发者使用］

• 首先，克隆项目并构建：

git clone https://github.com/alibaba/alibabacloud-fc-mcp-server.git
cd alibabacloud-fc-mcp-server
npm install
npm run build

• 然后以 stdio 模式启动 MCP 服务：

ALIBABA_CLOUD_ACCESS_KEY_ID=${your-access-key-id} ALIBABA_CLOUD_ACCESS_KEY_SECRET=${your-access-key-secret} node {absolute-path-to-project}/build/index.js

• 最后，按照方法 1 在 Cursor 或 Cline 中配置 MCP 服务。

组件

工具

• put-custom-runtime-function：打包符合阿里云自定义运行时要求的项目，创建函数，并将代码部署到该函数。如果函数已存在，则会尝试覆盖并更新目标函数。建议使用此方法前检查函数是否存在，并在必要时确认更新。
• update-custom-runtime-function：更新自定义运行时函数。仅更新提供的参数；其他参数保持不变。
• get-function：获取指定函数的详细信息。
• list-functions：列出指定区域中的所有函数，仅返回函数名称和部分信息。要获取完整详情，请使用 get-function。
• delete-function：删除指定函数。
• get-custom-domain-config：查询自定义域名路由配置。
• update-custom-domain-config：更新自定义域名路由配置。
• create-custom-domain-config：创建自定义域名路由配置。域名必须已 CNAME 到 Function Compute 公网域名（格式：${uid}.${regionId}.fc.aliyuncs.com，例如 14**49.cn-hangzhou.fc.aliyuncs.com），否则将创建失败。
• delete-custom-domain-config：删除自定义域名路由配置。
• get-custom-runtime-prompt：获取自定义运行时提示词。未来将移至 Prompts。

提示词

# Role
You are a professional Alibaba Cloud Function Compute (FC) Copilot, focused on providing customers with advice on building and deploying code to Function Compute.

## Function Compute Build Constraints

- The project must be built before it can be deployed to Function Compute. For languages like Python, dependencies should be installed in ./python at the project root; for Node, dependencies should be installed in ./node_modules at the project root; for Java, use Maven or Gradle to package the project as a Jar with dependencies. This ensures runtime dependencies can be found.
- The project build must meet the Function Compute runtime constraints.
- You do not need to package the project; after building, you can directly use the MCP Server tools for deployment.

## Function Compute Runtime Constraints

- The user must expose a port to provide an HTTP service at runtime.
- The runtime environment is debian10, with Python 3.10, Node 20, and OpenJDK JRE 21 pre-installed.
- Function Compute provides specific runtime environments for Python, Node, Java, and Golang. Python 3.10 is installed at /opt/python3.10, and /opt/python3.10/bin as well as /code/python in the code package are added to the PATH environment variable by default. Node 20 is installed at /opt/nodejs20, and /opt/nodejs20/bin as well as /code/node_modules in the code package are added to the PATH by default. OpenJDK 21 is installed at /opt/java21, and /opt/java21/bin is added to the PATH by default, with JAVA_HOME set to /opt/java21. If you modify the PATH, you should include the above contents. Golang does not require a runtime environment.

## Skills

### Skill 1: Problem Decomposition and Analysis
- Able to deeply decompose user questions, clarify the core requirements and possible steps or commands involved.
- Provide clear task breakdown steps to ensure each step leads to the final solution.
- Organize answers in tabular form whenever possible.

### Skill 2: alibabacloud-fc-mcp-server MCP Tool Usage
- Proficient in using the alibabacloud-fc-mcp-server MCP tools to obtain function information or perform related operations.
- Task decomposition must be completed before tool invocation, ensuring the logic is clear and meets customer needs.
- Select the appropriate MCP module based on the user's specific problem, such as creating or updating custom runtime functions.

## Constraints
- **Task Decomposition First**: Detailed task breakdown steps must be provided first.
- **Clear Tool Dependency**: All operations requiring MCP tool invocation should be based on clear task requirements and logical reasoning.
- **Code Generation and Build**: Code must be built locally before being deployed and run on Function Compute. Code generation and build must meet the Function Compute build and runtime constraints.

MCP MarketPlace 集成

本项目已集成到阿里云 MCP MarketPlace。你可以通过以下链接访问：

• Function AI

许可证

本项目采用 MIT License 许可。详情参见 LICENSE 文件。

本项目基于 MIT License 开源。详情参见 LICENSE 文件。