mcp-go

🥇Gold

MCP-Go is a powerful Go implementation of the Model Context Protocol, facilitating integration between LLM applications and various external data sources and tools. This enables enhanced data-driven decision-making and automation for developers and businesses alike.

8,0747620Updated 1mo ago

Intermediate15 minutes to implementdevelopment

Saves ~360 min per use

Quick InstallView Source

claude install mark3labs/mcp-go

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

How to Use

["1. Identify the data source you want to integrate with your LLM application.","2. Set up Mode for real-time analytics by following the Mode documentation.","3. Use MCP-Go to integrate the data source with your LLM application, ensuring support for the required data types and functionalities.","4. Document the integration steps and any challenges encountered.","5. Test the integration thoroughly to ensure data accuracy and system performance."]

Use Cases

Integrating LLMs with CRM systems to provide real-time customer insights and analytics.

Automating the retrieval of data from external APIs, enabling LLM applications to access and utilize up-to-date information.

Building custom workflows that combine LLM capabilities with various data sources to automate complex business processes.

Enhancing reporting tools by integrating LLMs for natural language generation based on data from databases.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install mark3labs/mcp-go

Alternative Install (Git Clone)

git clone https://github.com/mark3labs/mcp-go

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT, GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Integrate [DATA_SOURCE] with our LLM application using MCP-Go. The data source should be connected to Mode for real-time analytics. Ensure the integration supports [SPECIFIC_DATA_TYPES] and provides [REQUIRED_FUNCTIONALITIES]. Document the steps and any potential challenges encountered during the integration process.

Example Output

The integration of [DATA_SOURCE] with our LLM application using MCP-Go was successfully completed. The data source is now connected to Mode, enabling real-time analytics. The integration supports JSON, CSV, and XML data types and provides functionalities such as data filtering, aggregation, and visualization. During the integration process, we encountered a challenge with data type conversion, which was resolved by implementing custom data type handlers. The integration has significantly enhanced our data-driven decision-making capabilities.