Serverless MCP Server

@groovysquirrel

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

groovysquirrel

关于 Serverless MCP Server

A Serverless MCP implementation using SST, React and AWS.

Serverless MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "serverless-mcp": {
      "command": "npx",
      "args": [
        "sst",
        "dev"
      ]
    }
  }
}

Serverless MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Serverless Mcp?

Serverless Mcp is a modern, serverless operating system for AI systems and agents, built with SST, React, and TypeScript. It provides a framework for managing Large Language Models (LLMs) and specialized AI agents through the Model Control Protocol (MCP) with a unified command system and shared operating template.

How to use Serverless Mcp?

Clone the repository, install dependencies with npm install, then start the development server with npx sst dev. Configure the test environment by copying .env.test.example to .env.test and filling in required API and AWS Cognito credentials. Run test scripts such as ./packages/brainsOS/test_scripts/mcp/test_tools.sh. Deploy to AWS with npx sst deploy --stage <stage>.

Key features of Serverless Mcp

Visual flow editor for AI workflow design
Unified command system for AI operations
Secure authentication and authorization via AWS Cognito
Real-time workflow execution
Comprehensive audit logging

Use cases of Serverless Mcp

Manage and orchestrate AI workflows through a visual interface
Deploy secure, scalable AI subminds
Perform prompt management and benchmarking
Maintain strict data ownership and audit capabilities

常见问题

What are the dependencies or runtime requirements?

Node.js v16 or later and an AWS account with configured credentials are required. The system uses AWS Lambda, DynamoDB, and Cognito.

Where does the data live?

Data is stored in DynamoDB, and authentication data is handled by AWS Cognito. All infrastructure runs on AWS.

How is authentication and transport handled?

Authentication is via AWS Cognito (username/password, user pool, identity pool). The API communicates over HTTPS through AWS API Gateway.

Are there any known limitations or issues?

The README notes common troubleshooting steps such as token expiration (handled automatically), rate limiting (built-in delays), and missing environment variable validation. No other explicit limits are mentioned.

Is there a test environment setup?

Yes. Create a `.env.test` file from the example, set secure permissions (`chmod 600`), and run test scripts located under `packages/brainsOS/test_scripts/`. Tests include interactive features (press Enter, R, Q) and show pass/fail indicators.

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