SShortSingh.
Back to feed

Open-Source Tools Enable Lightweight and Streamable MCP Servers on AWS Lambda

0
·1 views

Developers have released two open-source Python projects — modmex-lambda and serverless-python-mcp — designed to run Model Context Protocol (MCP) servers on AWS Lambda without requiring containers, persistent processes, or full web frameworks. The tools support two deployment models: a lightweight buffered approach for short-lived operations via API Gateway and Lambda, and a real streaming HTTP model for long-running tasks that need to report progress incrementally. Both models share a unified Python programming interface, meaning developers do not need to adopt separate application architectures for MCP versus standard REST endpoints. The framework also supports dependency injection and middleware, allowing authorization, logging, and other cross-cutting concerns to be applied consistently across both REST and MCP transports. The projects are available via pip and integrate with the Serverless Framework for deployment.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Structured Data Models Can Make Survival Game Item Guides Far More Useful

A developer has outlined a data-driven approach to building item guides for survival games like Subnautica 2, arguing that key facts such as unlock conditions, required equipment, and navigation routes should be stored as structured fields rather than buried in prose. The method separates prerequisites, landmarks, hazards, and recovery steps into distinct data categories, making guides easier to follow and errors easier to diagnose. Using the Repair Tool as a case study, the author demonstrated how navigation can be broken into discrete segments, each with its own origin point, bearing, and visual confirmation landmark. The approach also distinguishes between mandatory and recommended equipment, preventing beginners from delaying progress due to unclear requirements. Hazard warnings, the author argues, are most useful when attached directly to the relevant route segment rather than grouped into a generic notice.

0
ProgrammingDEV Community ·

Developer builds browser-style DevTools dashboard for Node.js backend debugging

A developer frustrated with console.log-based backend debugging has released Wevna, an open-source local observability tool for Node.js applications. The SDK requires just two lines of code to set up and opens a localhost dashboard displaying HTTP requests, SQL queries, Redis commands, and logs in a visual, waterfall-style interface. Wevna automatically flags patterns such as N+1 database queries by detecting repeated queries with the same shape within a single request. The tool is privacy-focused by design, with all data staying on the local machine and no account, API key, or external data transfer required. Currently in v1, it supports Postgres and Redis only, and the developer is actively seeking feedback from users testing it on real applications.

0
ProgrammingDEV Community ·

Developer Builds C# .NET App to Help Shoppers Compare Prices and Travel Costs

A developer has created a web application called Digital Fare App using the C# .NET ecosystem, designed to simplify everyday purchase calculations. The tool helps users determine whether bulk deals or longer trips with multiple passengers are genuinely cost-effective. Users can save their calculation records to a database for future reference. Auth0 integration for authorization and user authentication is planned as an upcoming feature. The project is currently seeking community input on branding, including a name and logo.

0
ProgrammingDEV Community ·

How to Build a Lightweight AI Agent in 150 Lines of Python Without Frameworks

A software developer shares a step-by-step guide to building a production-ready AI agent in approximately 150 lines of Python, using no external frameworks such as LangChain or CrewAI. The approach was inspired by a startup founder who struggled with framework abstractions that did not fit his specific workflow. The hand-built agent includes tool use, working memory, budget controls, and escalation logic, with every line remaining fully readable and traceable. Building from scratch gives developers direct visibility into model context, honest budget enforcement, and easier debugging compared to opaque framework internals. The author acknowledges that frameworks can save time for standard workflows, but argues that writing the core loop manually — roughly 50 lines — yields greater control and understanding.

Open-Source Tools Enable Lightweight and Streamable MCP Servers on AWS Lambda · ShortSingh