AI Agent with MCP
by moises-paschoalick
This project implements an AI agent that uses the Model Context Protocol (MCP) to interact with external resources. It provides access to user data and a simple greeting resource.
Last updated: N/A
What is AI Agent with MCP?
This is an AI agent that leverages the Model Context Protocol (MCP) to expose resources like user data and simple greetings. It allows interaction with these resources through a client or directly via REST API.
How to use AI Agent with MCP?
You can use the provided MCP client in TypeScript to access the resources, or directly use REST API calls with tools like curl. Installation involves setting up the project, installing dependencies, building the server, and optionally configuring Cursor for integration.
Key features of AI Agent with MCP
Access to user data via MCP
Simple greeting resource
MCP client for resource interaction
REST API access
Cursor integration options
Use cases of AI Agent with MCP
Integrating AI agents with external data sources
Building conversational interfaces with user information
Providing simple API endpoints for AI interactions
Extending Cursor functionality with custom resources
Experimenting with Model Context Protocol
FAQ from AI Agent with MCP
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a protocol for AI agents to interact with external resources.
How do I install the project?
How do I install the project?
You can clone the repository, install dependencies with npm install, and build the project with npm run build.
How do I run the server?
How do I run the server?
Use the command npm start to run the server. For development mode, use npm run dev.
How can I access the resources?
How can I access the resources?
You can use the provided MCP client or directly access the resources via REST API using tools like curl.
What resources are available?
What resources are available?
The server provides resources such as a list of users (api://users) and a simple greeting (hello://world).