Playwright
microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.
Developer Tools · Cloud Platform
Serverless MCP
hteek/serverless-mcp
A serverless implementation of the Model Context Protocol (MCP) using AWS Lambda, CloudFront, and Cognito authentication. This project provides a complete infrastructure for hosting MCP servers in the cloud with OAuth 2.0 authentication, real-time streaming via Server-Sent Events with JSON-RPC 2.0 messaging format, and scalable serverless architecture.
Install
See repository
Setup steps are in the repository README.
- Author
- @hteek
- Category
- Developer Tools, Cloud Platform
- License
- MIT
- Updated
- Oct 6, 2026
About Serverless MCP
The implementation includes RFC-compliant OAuth 2.0 support with OAuth 2.0 Authorization Server Metadata (RFC 8414), OAuth 2.0 Dynamic Client Registration Protocol (RFC 7591), and OAuth 2.0 Protected Resource Metadata (RFC 9728). Features a custom transport implementation compatible with the official Model Context Protocol TypeScript SDK.
Features
MCP Protocol Implementation: Full support for Model Context Protocol with tools and resources
Serverless Architecture: AWS Lambda functions with CloudFront distribution
OAuth 2.0 Authentication: Secure authentication using AWS Cognito
Real-time Streaming: Server-Sent Events (SSE) support for live communication
Session Management: Stateful and stateless session handling
Custom Domain: SSL certificates and Route 53 DNS configuration
GitHub Actions Deployment: OIDC-based CI/CD pipeline
Tools (9)
CloudWatch
Monitor Lambda function logs and metrics
Authentication
https://auth.your-domain.com
get_today_date
Get the current date to help with relative date queries
get_dimension_values
Get available values for AWS Cost Explorer dimensions (SERVICE, REGION, etc.)
get_tag_values
Get available values for a specific tag key
get_cost_and_usage
Retrieve AWS cost and usage data with filtering and grouping
get_cost_forecast
Generate cost forecasts based on historical usage patterns
get_cost_and_usage_comparisons
Compare costs between two time periods
get_cost_comparison_drivers
Analyze what drove cost changes between periods
Details on this page are taken from the project's README. Open README
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