MCP Utils
mcp-utils is a Python toolkit for building servers that comply with the MCP protocol. It provides functions such as synchronous implementation, SSE support, and Redis queues, simplifying the development process of MCP servers.
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What is a Model Context Protocol (MCP) Server?
An MCP server is a tool that follows the Model Context Protocol. It is used to handle model requests, generate responses, and manage context conversations. It helps developers easily integrate AI models into existing applications.How to Use an MCP Server?
Through simple configuration and coding, you can quickly set up an MCP server and connect it to clients such as Claude Desktop. It supports synchronous implementation and various extended functions.Applicable Scenarios
Suitable for application scenarios that require efficient conversation management and AI model integration, such as customer service systems and intelligent assistants.Main Features
Synchronous ImplementationNo need for complex asynchronous programming, simplifying the development process.
Server-Sent Events (SSE) SupportReal-time push of message streams to improve the user experience.
Pydantic Model ValidationBuilt-in data validation mechanism to ensure the accuracy of input and output.
SQLAlchemy Transaction ManagementSupports database transaction processing to ensure data consistency.
Advantages and Limitations
Advantages
Easy to use, reducing the development threshold.
Supports various extended functions to meet diverse needs.
Powerful data validation and documentation generation functions.
Compatible with mainstream frameworks such as Flask and SQLAlchemy.
Limitations
Currently only supports synchronous implementation, which may have limitations in high-concurrency scenarios.
Depends on external components (such as Redis), increasing the deployment complexity.
The Claude Desktop client needs to be used with a proxy tool.
How to Use
Install mcp-utils
Install the mcp-utils toolkit via pip.
Create a Basic MCP Server
Define the prompt generation function and the tool call function.
Integrate Flask and Redis
Combine the MCP server with Flask and Redis to improve performance.
Usage Examples
Get Weather InformationGenerate a weather prompt through the MCP server and call the tool to get the result.
Call External Tools to Generate ResultsDefine a tool function to simulate an external API call.
Frequently Asked Questions
Does the MCP server support asynchronous implementation?
How to install the MCP proxy tool?
Does the MCP server support multiple languages?
Related Resources
Official Documentation
The GitHub repository for the mcp-utils toolkit.
MCP Inspector
A tool for testing and debugging MCP servers.
MCP Proxy
A proxy tool for connecting Claude Desktop to the MCP server.
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