MCP Workspace Server
🚀 Beyond Filesystem - Complete AI Development Environment - One MCP Server provides full Agent capability stack: web development, code execution, data processing, image generation. No need for multiple tools, configure once. Perfect support for Dify,
What is MCP Workspace Server?
MCP Workspace Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🚀 beyond filesystem - complete ai development environment - one mcp server provides full agent capability stack: web development, code execution, data processing, image generation. no need for multip...
🚀 Beyond Filesystem - Complete AI Development Environment - One MCP Server provides full Agent capability stack: web development, code execution, data processing, image generation. No need for multiple tools, configure once. Perfect support for Dify,
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 🚀 Beyond Filesystem - Complete AI Development Environment -
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-workspace-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Workspace Server
MCP Workspace Server is a single, self-contained MCP server that replaces the need for five or more separate tools in an AI development workflow. It provides sandboxed Python 3.12 and Node.js 20 code execution, filesystem operations, Excel/CSV processing, Mermaid diagram and image generation, web crawling, and live frontend preview — all behind one MCP connection. Designed for multi-tenant agent platforms like Dify, it isolates each user-session into its own workspace and supports wildcard-domain deployments of generated frontends.
Prerequisites
- Docker and Docker Compose (strongly recommended; local Python execution requires Python 3.12, Node.js 20, Tesseract OCR, and other system dependencies)
- Git to clone the repository
- An MCP client that supports SSE transport (e.g., Claude Desktop, Dify, Cursor)
- Optional: a wildcard DNS domain if you want live frontend preview URLs
Clone the repository
Clone the MCP-Workspace-Server repository to your local machine.
git clone https://github.com/answerlink/MCP-Workspace-Server.git && cd MCP-Workspace-ServerCreate the configuration file
Copy the example config and edit it to set your admin token, preview domain, and any other settings.
cp config.example.json config.jsonEdit config.json with your settings
Open config.json and at minimum set `admin_token` to a secure bearer token and configure the `preview` wildcard domain if you want frontend deployment URLs.
Build and start the server with Docker Compose
Start the server in the background. The first run will build the Docker image which includes all system dependencies.
docker-compose up -d --buildUpdate the server after pulling changes
When the repository is updated, pull the latest code and restart the container.
git pull && docker-compose restartConnect your MCP client via SSE
Configure your MCP client to connect to the server using the SSE transport on the configured host and port (default: port 8000).
{
"mcpServers": {
"workspace": {
"type": "sse",
"url": "http://localhost:8000/sse"
}
}
}MCP Workspace Server Examples
Client configuration (SSE transport)
Connect Claude Desktop or another SSE-capable MCP client to the running workspace server.
{
"mcpServers": {
"mcp-workspace": {
"type": "sse",
"url": "http://localhost:8000/sse"
}
}
}Prompts to try
These prompts exercise the server's core capabilities: code execution, filesystem, Excel, and frontend preview.
- "Write a Python script that reads a CSV file, computes the mean of each numeric column, and saves the result as an Excel file."
- "Create a simple React landing page with a hero section and deploy it so I can preview it in the browser."
- "Search the workspace for all Python files containing the word 'import pandas'."
- "Generate a Mermaid sequence diagram showing an OAuth2 authorization code flow."
- "Crawl https://example.com and extract all headings and paragraph text."Troubleshooting MCP Workspace Server
Docker build fails with missing system dependency errors
Ensure Docker has network access during the build so it can install apt packages (Tesseract, Node.js, etc.). If behind a corporate proxy, configure Docker's proxy settings before building.
Admin API returns 401 Unauthorized
Include the `Authorization: Bearer <admin_token>` header in your request, where <admin_token> matches the value set in config.json. Restart the container after editing the config.
Frontend preview URLs don't work
The `preview` section in config.json must point to a wildcard DNS domain (e.g., *.preview.yourdomain.com) that resolves to the server's IP. Without wildcard DNS, the generated preview subdomains will not resolve.
Frequently Asked Questions about MCP Workspace Server
What is MCP Workspace Server?
MCP Workspace Server is a Model Context Protocol (MCP) server that 🚀 beyond filesystem - complete ai development environment - one mcp server provides full agent capability stack: web development, code execution, data processing, image generation. no need for multiple tools, configure once. perfect support for dify, It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Workspace Server?
Follow the installation instructions on the MCP Workspace Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Workspace Server?
MCP Workspace Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Workspace Server free to use?
Yes, MCP Workspace Server is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
MCP Workspace Server Alternatives — Similar Coding Agents Servers
Looking for alternatives to MCP Workspace Server? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
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Set Up MCP Workspace Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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