Lambda MCP Server
L

Lambda MCP Server

This project demonstrates a serverless MCP (Model Context Protocol) tool implementation based on AWS Lambda, including a Python server - side and a TypeScript client, supporting streaming HTTP communication. The server - side simplifies the MCP tool development process, has built - in session state management, and demonstrates integration with Amazon Bedrock.
2.5 points
9.4K

What is Lambda MCP Server?

Lambda MCP Server is a serverless implementation running on AWS Lambda, allowing developers to easily create and deploy tools compliant with the MCP protocol. It is particularly suitable for scenarios where rapid development and deployment of AI tools are required.

How to use Lambda MCP Server?

Developers only need to define tool functions with simple Python decorators, and Lambda MCP Server will automatically handle complex issues such as protocol compatibility, request parsing, and response formatting.

Use cases

Suitable for scenarios where rapid construction and deployment of AI tools are required, especially when you want the tools to seamlessly integrate with AI services such as Amazon Bedrock.

Main features

Minimal development
Create fully functional MCP tools with just a few lines of code, greatly reducing boilerplate code.
Session state management
Built - in session state management for cross - tool calls, automatically persisted to DynamoDB.
Streamable HTTP support
Supports streaming HTTP communication, suitable for handling long - running tasks or large responses.
Amazon Bedrock integration
Built - in integration capabilities with Amazon Bedrock and Nova Pro, easily build intelligent agents.
Advantages
Serverless architecture, auto - scaling, no need to manage infrastructure
Extremely low development threshold, new tools can be deployed in minutes
Built - in session management, simplifies state persistence implementation
Deep integration with the AWS ecosystem, especially Bedrock AI services
Limitations
Currently, there are few clients supporting Streamable HTTP
Lambda execution time limits may affect long - running tasks
Requires an AWS account and basic cloud service knowledge

How to use

Prepare an AWS account
Ensure you have an AWS account and have configured appropriate permissions.
Install SAM CLI
Install the AWS Serverless Application Model command - line tool.
Deploy the server
Use SAM CLI to build and deploy the server application.
Create a tool
Add your tool function in app.py.

Usage examples

Simple greeting tool
Create a simple tool that returns a fixed greeting.
Session counter
Create a counter tool that maintains state across calls.
AWS resource query
Query the number of S3 buckets in an AWS account.

Frequently Asked Questions

What is MCP?
Why choose Lambda to implement the MCP server?
How to protect my MCP server?
Which clients are supported?

Related resources

Official MCP protocol documentation
The official GitHub repository of the Model Context Protocol
TypeScript MCP SDK
The official TypeScript SDK supporting Streamable HTTP
the_context video explanation
Function demonstration and discussion of Lambda MCP Server
AWS SAM documentation
Official documentation of the AWS Serverless Application Model

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
4.8K
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
5.3K
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
4.9K
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
5.2K
4 points
P
Paperbanana
Python
6.3K
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
7.0K
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
7.7K
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
7.7K
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
25.6K
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
21.5K
4.5 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
34.5K
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
72.4K
4.3 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
64.6K
4.5 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#
31.3K
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
22.1K
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
48.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase