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sample-serverless-mcp-servers
Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute
237stars
36forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Sample AWS serverless implementations of AI agents and Model Context Protocol (MCP) servers using Lambda, ECS, and API Gateway.
Use this when
- Need an MCP server running on AWS Lambda with minimal ops
- Building AI agents that require remote tool access via MCP
- Testing MCP clients against real AWS-hosted servers
- Running stateless MCP servers for scalable, short-lived interactions
- Debugging MCP server behavior in a serverless environment
Don't use when
- Requiring persistent session state across multiple server instances
- Needing built-in session persistence without sticky sessions
- Using MCP clients that don't support cookie-based session affinity
Capabilities
- Deploys MCP servers on Lambda, ECS, or API Gateway
- Supports both stateful and stateless MCP server modes
- Includes Python and Node.js sample implementations
- Uses Terraform, CDK, or SAM for infrastructure
- Demonstrates Streamable HTTP Transport with SSE connections
- Provides examples with and without user authentication
InstallMCPInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest aws-samples/sample-serverless-mcp-serversAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/sample-serverless-mcp-servers curl -fsSL https://raw.githubusercontent.com/aws-samples/sample-serverless-mcp-servers/main/README.md -o ~/.claude/skills/sample-serverless-mcp-servers/SKILL.md
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