Replit MCP Server

Replit MCP Server

Enables AI assistants to interact with Replit workspaces directly, including managing repls, file operations, environment variables, and deployments without constant user intervention.

Category
Visit Server

README

Replit MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to interact with Replit workspaces directly, without needing an agentic browser or constant user intervention.

Features

  • User Management: Get current user, lookup users by ID or username
  • Repl Management: List, create, fork, delete, and get detailed repl information
  • File Operations: Read, write, create, delete files and directories
  • Environment Variables: Manage secrets and environment variables
  • Deployments: Get deployment info and publish repls
  • Search: Search for content within files

Installation

From Smithery

smithery install replit-workspace --client claude

Manual Installation

  1. Clone this repository
  2. Install dependencies: npm install
  3. Build: npm run build
  4. Run: npm start

Configuration

The server requires a REPLIT_TOKEN environment variable containing your Replit connect.sid cookie token.

Getting Your Token

  1. Log into Replit in your browser
  2. Open Developer Tools (F12)
  3. Go to Application > Cookies > replit.com
  4. Copy the value of connect.sid

Claude Desktop Configuration

Add to your Claude Desktop config file:

{
  "mcpServers": {
    "replit": {
      "command": "node",
      "args": ["/path/to/replit-mcp-server/dist/index.js"],
      "env": {
        "REPLIT_TOKEN": "your-connect-sid-token"
      }
    }
  }
}

Available Tools (24 Total)

User Operations

Tool Description
get_current_user Get info about the authenticated user
get_user_by_id Get user info by numeric ID
get_user_by_username Get user info by username

Repl Management

Tool Description
list_repls List repls owned by the user
get_repl_by_url Get repl info by URL
get_repl_details Get detailed repl info (comments, multiplayers, tags, stats)
set_active_repl Set the active repl for subsequent operations
create_repl Create a new repl
fork_repl Fork an existing repl
delete_repl Delete a repl (requires confirmation)
run_repl Start a repl
stop_repl Stop a running repl

File Operations

Tool Description
read_file Read file contents
write_file Write content to a file
list_files List files in a directory
create_file Create a new file
delete_file Delete a file
create_directory Create a new directory
search_files Search for content in files

Environment Variables

Tool Description
get_secrets List all environment variables for a repl
set_secret Set an environment variable
delete_secret Delete an environment variable

Deployments

Tool Description
get_deployment Get deployment info for a repl
create_deployment Deploy/publish a repl

Development

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build
npm run build

# Start production server
npm start

Deployment to Smithery

  1. Ensure you have a Dockerfile and smithery.json in your repo
  2. Push to GitHub
  3. Connect your repository via Smithery dashboard
  4. Deploy

API Coverage

This MCP server provides comprehensive coverage of Replit's GraphQL API including:

  • User queries and lookups
  • Repl CRUD operations
  • File system operations
  • Environment variable management
  • Deployment management
  • Search functionality

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured