Replit Cloud Integration Assistant MCP Integration

How to Use Model Context Protocol (MCP) in Cursor

What is MCP?

Model Context Protocol (MCP) is an open protocol that allows you to provide custom tools to agentic LLMs (Large Language Models) in Cursor's Composer feature. This enables AI assistants to interact with external services, APIs, and tools seamlessly.

Installation Steps

1. Open Cursor Settings

Navigate to Cursor Settings > Features > MCP
Click the "+ Add New MCP Server" button

2. Configure the Server

Name: Give your server a nickname (e.g., "Replit Cloud Integration Assistant")
Type: Select the transport type (stdio or sse)
Command/URL: Enter either:
- For SSE servers: The URL of the SSE endpoint
- For stdio servers: A valid shell command to run the server

Example Configurations

For stdio Server (Replit Cloud Integration Assistant Example):

replit://mcp/cloud-integration

For SSE Server:

URL: http://example.com:8080/sse

Replit Cloud Integration Assistant Specific Instructions

Enable Replit Cloud Integration Assistant in Replit Agents. Manages Replit infrastructure services.

Using MCP Tools

1. Tool Availability

After adding a server, it will appear in the MCP servers list. You may need to refresh Cursor or restart the application for changes to take effect.

2. Using Tools in Composer

The Composer Agent will automatically use MCP tools when appropriate. You can also explicitly prompt tool usage by:

Referring to the tool by name (e.g., "Use the Replit Cloud Integration Assistant tool to...")
Describing the tool's function (e.g., "Get the latest data from Replit Cloud Integration Assistant")

3. Tool Execution Process

When a tool is called, Cursor will:

Display a message in chat requesting approval
Show tool call arguments (expandable for details)
Execute the tool upon user approval
Display the tool's response in the chat

Important Notes

MCP tools may not work with all models. Check compatibility with your selected model.
MCP tools are only available to the Agent in Composer, not in regular chat.
For servers requiring environment variables, create a wrapper script that sets the variables before running the server.
For detailed documentation and updates, visit the GitHub repository.