Alibaba Cloud FC MCP Server

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阿里云FC MCP服务器

本项目是阿里云功能计算（FC）服务的MCP服务器，基于 无服务器开发人员 和 OpenAPI.

使用场景

将阿里云功能计算功能集成到支持MCP客户端的代理应用程序中（如Cursor、Claude、Cline）。

先决条件

1. 安装 （需要版本18或更高版本）。
2. 准备您的阿里云凭据(AccessKeyId 和 AccessKeySecret).建议使用以下权限：

- AdministratorAccess （建议使用完整功能），或至少： - AliyunFCFullAccess （必填） - AliyunDevsFullAccess （推荐） - AliyunVPCFullAccess （推荐） - AliyunLogFullAccess （推荐） - AliyunEventBridgeFullAccess （可选）

快速开始

方法1：从npm包开始\[建议MCP Server用户使用\]

您可以使用以下命令在中启动MCP服务器 stdio 模式：

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 光标 \[推荐\]

• 点击 

或编辑游标配置文件(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}"
    }
}

cursor-config

• 创建一个新的空项目并在Cursor中打开它。在代理模式下与Cursor聊天。输入 Prompts 下面来引导对话。

input-prompt

• 让Cursor代理生成一个2048游戏项目，然后让代理将其部署到阿里云Function Compute。

chat-with-agent

• 等待代理生成项目并将其部署到阿里云功能计算。

get-result

使用 克莱恩

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：从源代码开始\[建议MCP Server开发人员使用\]

• 首先，克隆项目并构建它：

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

• 然后在中启动MCP服务器 stdio 模式：

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服务器。

组件

工具

• put-custom-runtime-function：打包一个符合阿里云自定义运行时要求的项目，创建一个函数，并将代码部署到该函数。如果该函数已存在，它将尝试覆盖和更新目标函数。建议在使用此方法之前检查该功能是否存在，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；其他则保持不变。
• get-function：检索有关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。有关完整详细信息，请使用 get-function.
• delete-function：删除指定的函数。
• get-custom-domain-config：查询自定义域路由配置。
• update-custom-domain-config：更新自定义域路由配置。
• create-custom-domain-config：创建自定义域路由配置。该域必须已被CNAMEed到公共函数计算域（格式：${uid}.${regionId}.fc.aliyuncs.com，例如14\*\*49.cn hangzhou.fc.aliyuncs.com），否则将无法创建。
• delete-custom-domain-config：删除自定义域路由配置。
• get-custom-runtime-prompt：获取自定义运行时提示。未来将转移到Prompts。

鼓励

# 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市场整合

该项目已整合至阿里云MCP MarketPlace。您可以通过以下链接访问它：

• 功能AI

许可证

该项目根据MIT许可证获得许可。请参阅 许可证 文件以获取详细信息。

本项目基于 MIT License 开源。详情参见 许可证 文件。