mcp-agent

🥇Gold

The mcp-agent helps users to create efficient AI agents utilizing the Model Context Protocol alongside straightforward workflow patterns. Ideal for developers looking to enhance their AI capabilities with streamlined processes.

8,1048020Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~150 min per use

Quick InstallView Source

claude install lastmile-ai/mcp-agent

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

How to Use

["Define the specific task you want the AI agent to perform.","Outline the workflow steps the agent should follow.","Integrate Mode for data insights if your task involves data analysis.","Specify the input data format and the desired output format.","Test the agent with sample data to ensure it meets your requirements."]

Use Cases

Automate customer support interactions to provide instant responses to common inquiries.

Create personalized marketing responses that adapt to user behavior and preferences.

Streamline data analysis workflows by automating data collection and reporting tasks.

Facilitate code generation and debugging to enhance developer productivity.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install lastmile-ai/mcp-agent

Alternative Install (Git Clone)

git clone https://github.com/lastmile-ai/mcp-agent

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

Create an AI agent using the Model Context Protocol to [SPECIFIC TASK]. The agent should follow this workflow: [WORKFLOW STEPS]. Use Mode for data insights if needed. Ensure the agent can handle [INPUT DATA] and produce [OUTPUT DATA].

Example Output

Agent created successfully. The agent will now monitor sales data from Mode, identify trends, and generate weekly reports. It will also send alerts for any anomalies detected. The agent is configured to handle CSV data inputs and produce PDF reports. You can start by uploading your sales data to the designated folder.