Mcp Lambda Server

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MCP Server is a project demonstrating AWS Lambda integration with HTTP API Gateway.

What is Mcp Lambda Server

mcp-lambda-server is a repository designed to facilitate the integration of MCP Server with AWS Lambda and HTTP API Gateway, enabling serverless architecture for applications.

Use cases

Use cases include building RESTful APIs, processing data in real-time, and creating event-driven applications that respond to HTTP requests.

How to use

To use mcp-lambda-server, clone the repository from GitHub, configure your AWS credentials, and deploy the serverless functions using AWS Lambda. Follow the instructions provided in the blog post for detailed steps.

Key features

Key features include serverless deployment, easy integration with AWS services, scalability, and reduced operational overhead.

Where to use

mcp-lambda-server can be used in cloud computing environments, particularly for applications requiring serverless architecture, microservices, and APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Lambda Server

mcp-lambda-server is a repository designed to facilitate the integration of MCP Server with AWS Lambda and HTTP API Gateway, enabling serverless architecture for applications.

Use cases

Use cases include building RESTful APIs, processing data in real-time, and creating event-driven applications that respond to HTTP requests.

How to use

Key features

Key features include serverless deployment, easy integration with AWS services, scalability, and reduced operational overhead.

Where to use

mcp-lambda-server can be used in cloud computing environments, particularly for applications requiring serverless architecture, microservices, and APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

repository for the blog post

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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