MCP Go Sdk
A Go language SDK for building Model Communication Protocol (MCP) tools, providing basic components for implementing MCP-compatible tools, which can be integrated with AI applications such as the Cursor IDE.
rating : 2.5 points
downloads : 9
What is the MCP-Go SDK?
The MCP-Go SDK is a framework for developing tools and services that comply with the Model Communication Protocol (MCP) standard. It allows developers to easily create interactive tools that can collaborate with AI applications (such as the Cursor IDE).How to use the MCP-Go SDK?
You can quickly set up an MCP-compatible tool with just a few lines of code. Simply implement the tool interface and start the server, and your tool can be called by AI applications.Applicable Scenarios
The MCP-Go SDK is suitable for developers who need to integrate with AI tools, such as building custom code completion plugins, debuggers, or data analysis tools.Main Features
Flexible Tool ImplementationDevelopers can define their own tool logic by implementing simple interfaces.
Cross-Platform SupportSupports multiple transmission methods, including standard input/output streams and network connections.
Dynamic Registration MechanismSupports dynamically adding new MCP tools at runtime.
Advantages and Limitations
Advantages
Easy to integrate into existing projects
Strong community support and extensibility
Limitations
Has a certain dependence on the Go language
Developing complex tools may take more time
How to Use
Install the MCP-Go SDK
Make sure you have installed the Go language environment and download the SDK using the `go get` command.
Create a Tool Implementation
Write a tool class and implement the basic methods of the `Tool` interface.
Start the MCP Server
Start a server instance using the built-in transport layer.
Usage Examples
Example 1: Simple Echo ToolCreate a tool that returns the input message.
Example 2: Advanced Data Analysis ToolImplement a tool for processing complex data sets.
Frequently Asked Questions
Does the MCP-Go SDK support multi-language development?
How to deploy the tool to the production environment?
Related Resources
Official Documentation
Get detailed API references and tutorials.
GitHub Code Repository
View the source code and contribute.
Community Forum
Exchange experiences with other users.
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