Fast MCP Server
A lightweight MCP server implementation that exposes custom tools via SSE for AI client integration.
rating : 2 points
downloads : 19
What is Fast MCP Server?
Fast MCP Server is a server that implements the Model Context Protocol (MCP). It allows AI clients to access various custom tools (such as weather queries) through a simple SSE connection. The server is deployed in a Docker container and is ready to use out of the box.How to use Fast MCP Server?
You can use it in just three steps: 1) Clone the repository. 2) Build the Docker image. 3) Start the container. Then your AI client can connect to the server via SSE to use various tools.Use cases
It is suitable for scenarios where you need to extend the functionality of AI assistants (such as Claude), such as real - time weather queries and data retrieval. It is especially suitable for developers to quickly add custom tools to AI applications.Main features
SSE integrationProvides a real - time communication channel via Server - Sent Events (SSE) and is compatible with various MCP clients.
Docker containerizationProvides full Docker support for one - click deployment without complex environment configuration.
Custom toolsComes with built - in example tools (such as weather queries) and supports rapid expansion of new tools.
Advantages and limitations
Advantages
Lightweight design with low resource consumption
Ready to use out of the box and can be quickly deployed
Good compatibility with mainstream AI clients
Limitations
Currently, there are few built - in tools and you need to expand them yourself.
Only supports the SSE protocol and does not support WebSocket.
How to use
Get the code
Clone the GitHub repository to your local machine.
Build the Docker image
Build the server image using Docker Compose.
Start the service
Start the MCP server in the background mode.
Usage examples
Weather query integrationIntegrate the weather query function into the AI assistant.
Custom tool developmentDevelop new custom tools to extend AI functionality.
Frequently Asked Questions
How to confirm that the server has been successfully started?
How to add new custom tools?
Which AI clients are supported?
Related resources
GitHub repository
Project source code and latest updates
MCP protocol documentation
Official documentation of the Model Context Protocol
Docker installation guide
Official Docker installation documentation
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