AIBase
EN
Explore
MCP Server Lambda
M

MCP Server Lambda

A Ruby template project for building AWS Lambda functions, supporting rapid deployment and testing
Developer toolsCloud platform#Ruby#Lambda#Serverless#AWS.ruby
2 points
9.7K
Open Site

Overview

Content Details

Alternatives

What is the Ruby Lambda Template?

This is a pre - configured Ruby project template specifically designed for the rapid development and deployment of serverless functions on AWS Lambda. It provides the infrastructure and toolchain, allowing developers to focus on business logic without having to build the environment from scratch.

How to use the Ruby Lambda Template?

You can start development by simply cloning the project, installing dependencies, and configuring environment variables. The built - in deployment script can package and publish the application to AWS Lambda with a single click.

Use cases

It is particularly suitable for serverless application scenarios driven by events, such as backend services that need to respond quickly to HTTP requests, scheduled task processing, and file processing.

Main features

Pre - configured environment
Comes with built - in Bundler dependency management and RSpec testing framework, ready to use out of the box
Environment variable support
Provides a .env file template for easy management of configurations in different environments
One - click deployment
Integrates AWS CLI commands to simplify the packaging and deployment process
Advantages
Quickly start the development of Ruby Lambda projects
Standardized project structure facilitates team collaboration
Automated deployment process reduces human errors
Limitations
Only applicable to the AWS Lambda environment
Requires pre - installation of Ruby and AWS CLI tools
Default configurations may need to be adjusted according to project requirements

How to use

Clone the repository
Clone the template project to your local development environment
Install dependencies
Install all necessary Ruby gem dependencies via Bundler
Environment configuration
Copy the .env.sample file and modify the configuration parameters as needed
Test run
Execute test cases to ensure the environment is configured correctly
Deploy to AWS
Package the project and update the Lambda function code

Usage examples

HTTP request handling
Create a Lambda function to handle API Gateway requests
Scheduled tasks
Configure CloudWatch events to trigger the Lambda function periodically

Frequently Asked Questions

How to add new Ruby dependencies?
What to do if there is a permission error during deployment?
Can I test the Lambda function locally?

Related resources

Official AWS Lambda Ruby documentation
AWS official guide for using the Ruby runtime
Ruby Bundler manual
Complete reference for the Ruby dependency management tool
AWS CLI installation guide
Installation instructions for the AWS command - line tool on various platforms

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
8.8K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.6K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.6K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
8.2K
4 points
P
Paperbanana
Python
10.4K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.4K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.5K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
40.0K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
29.1K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.5K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.9K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
72.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
57.7K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.6K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase