Serverless MCP Server
S

Serverless MCP Server

A minimalist Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Framework, supporting local development and testing.
2.5 points
6.3K

What is the Serverless MCP Server?

This is a lightweight MCP server deployed on the AWS cloud, allowing developers to quickly set up and run services based on the Model Context Protocol. It uses a serverless architecture, which scales automatically and requires no infrastructure management.

How to use the Serverless MCP Server?

You can interact with the MCP server through simple API calls to query available tools or perform specific functions. All interactions follow the JSON - RPC 2.0 protocol standard.

Use cases

Suitable for scenarios that require rapid deployment of lightweight AI service back - ends, such as prototype development, small projects, or services that need automatic scaling.

Main features

Minimalist deployment
One - click deployment to AWS Lambda without server management
Automatic scaling
Automatically scale computing resources according to the request volume
Local development support
Provide the serverless - offline plugin to support local testing
API Gateway integration
Provide HTTP access endpoints through API Gateway
Advantages
Zero operation and maintenance cost, no server management required
Pay - as - you - go, high cost - effectiveness
Automatic scaling, no need to worry about traffic peaks
Rapid deployment, go live in minutes
Limitations
Cold start may cause a delay in the first request
Execution time limit (up to 15 minutes on AWS Lambda)
Not suitable for long - running tasks

How to use

Install dependencies
Install the Node.js dependency packages required for the project
Run locally
Use the serverless - offline plugin to start the service locally
Deploy to AWS
Use the Serverless Framework to deploy the service to the AWS cloud

Usage examples

Query available tools
Get the list of all tools currently supported by the server
Use the addition tool
Call the built - in addition calculation tool to add numbers

Frequently Asked Questions

What is the MCP server?
How to add new tools?
Are there any usage restrictions for the service?
How to monitor the service usage?

Related resources

Model Context Protocol official documentation
Official documentation and specifications of the MCP protocol
Serverless Framework documentation
Official documentation of the Serverless Framework
GitHub repository
Project source code and examples
Deployment tutorial article
Detailed deployment and usage tutorial

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
8.7K
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
9.4K
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
15.2K
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
9.1K
4 points
P
Paperbanana
Python
10.3K
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
9.9K
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
10.3K
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
10.3K
5 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
24.5K
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
82.0K
4.3 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
27.9K
4.3 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
39.8K
5 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#
38.8K
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
71.9K
4.5 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
24.5K
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
57.4K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase