Manus MCP: Unmatched Performance & Future-Ready Scalability

Elevate your operations with Manus MCP—the ultimate server delivering unmatched Manus-grade performance, seamless integration, and future-ready scalability. Unleash potential, redefined.

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About Manus MCP

What is Manus MCP: Unmatched Performance & Future-Ready Scalability?

Imagine needing to quickly analyze a competitor's website, run a Python script, and parse search results—all in one seamless workflow. That’s exactly what Manus MCP delivers. This powerful server implementation acts as a Swiss Army knife for AI-driven tasks, combining web browsing, code execution, and smart automation. Unlike basic tools, it doesn’t just “do stuff”—it handles complex workflows with enterprise-grade reliability, whether you’re scraping e-commerce data or deploying microservices on the fly.

How to use Manus MCP: Unmatched Performance & Future-Ready Scalability?

Let’s say you’re using Claude for Desktop for content generation. Here’s how you’d set up Manus MCP to supercharge your workflow:

Edit your config file (macOS path: ~/Library/Application Support/Claude/claude_desktop_config.json)
Add this snippet to enable the server:

{
  "mcpServers": {
    "manus-mcp": {
      "command": "uv",
      "args": ["--directory", "/ABSOLUTE/PATH/TO/manus-mcp", "run", "mcp_server.py"]
    }
  }
}

Restart Claude, and start using tools like google_search to find sources or code_interpreter to run analysis instantly.

Manus MCP Features

Key Features of Manus MCP: Unmatched Performance & Future-Ready Scalability?

Think of Manus MCP as your digital assistant on steroids:

Web wizardry: The browse_web tool doesn’t just visit pages—it clicks buttons, fills forms, and extracts data like a human user (without the coffee breaks)
Code sandbox: Safely execute risky scripts in isolated environments. Need to run a Python ML model? Just write the file and execute it—no system corruption risks
Headless flexibility: Configure BROWSER_HEADLESS to run silent background scrapes while keeping your desktop free
Future-proof scalability: Adjust GLOBAL_TIMEOUT and sandbox directories to handle everything from microtasks to enterprise pipelines

Use Cases of Manus MCP: Unmatched Performance & Future-Ready Scalability?

Here’s how real teams use it:

Data crunching: A marketing team automates weekly competitor price tracking by combining google_search and browse_web to scrape product pages
DevOps automation: Engineers use bash_tool to spin up test servers, install dependencies, and run CI/CD pipelines without manual setups
AI research: Researchers prototype new models by writing code snippets with code_interpreter and immediately testing them in sandboxed environments

Manus MCP FAQ

FAQ from Manus MCP: Unmatched Performance & Future-Ready Scalability?

Q: Is this secure?

A: Absolutely. The sandboxed execution prevents code from accessing system files, and you can restrict permissions via environment variables.

Q: Can it handle long-running processes?

A: Yes! The bash_tool supports background mode for tasks like web servers or database migrations that outlast individual requests.

Q: What if I need custom tools?

A: Extend the API using the open MCP spec—developers can build and integrate their own modules seamlessly.

Content

Manus MCP

A Model Context Protocol (MCP) server implementation that can browse the web, perform search queries, and execute code.

Current Features

"google_search" tool that performs Google searches and returns relevant links
"browse_web" tool that allows browsing websites, clicking elements, and extracting content
"code_interpreter" tool that allows reading, writing, and executing code in a sandbox environment
"bash_tool" tool that allows running shell commands in the sandbox directory

Using with Claude for Desktop

To use Manus MCP with Claude for Desktop:

Create or edit the Claude for Desktop configuration file:

* macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`

Add the following configuration:

{
"mcpServers": {
"manus-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/manus-mcp",
"run",
"mcp_server.py"
]
}
}

Restart Claude for Desktop
You should now see the Manus MCP tools available in Claude for Desktop

Available Tools

hello_world

A simple greeting tool that returns a welcome message.

google_search

Performs Google searches and returns a list of relevant links.

browse_web

Interacts with a web browser to navigate websites and extract information. Supported actions:

navigate: Go to a specific URL
click: Click an element by index
input_text: Input text into an element
get_content: Get the page content
execute_js: Execute JavaScript code
scroll: Scroll the page
refresh: Refresh the current page

code_interpreter

Allows reading, writing, and executing code files in a sandboxed environment. Supported actions:

read: Read the contents of a file
write: Write content to a file
execute: Execute a file or code snippet
list: List files in the sandbox

Supports multiple programming languages including Python, JavaScript (Node.js), Bash, Ruby, Perl, and R.

bash_tool

Executes bash commands in the sandbox directory. Features:

Run commands in foreground or background mode
Start web servers and other long-running processes
Install packages and dependencies
Manage files and processes

Environment Variables

The following environment variables can be configured:

SANDBOX_DIR: Path to the sandbox directory (default: ~/manus-sandbox)
GLOBAL_TIMEOUT: Global timeout for all operations in seconds (default: 60)
BROWSER_HEADLESS: Whether to run the browser in headless mode (default: false)
GOOGLE_SEARCH_MAX_RESULTS: Maximum number of search results to return (default: 10)
LOG_LEVEL: Logging level (default: INFO)

Development Guide

Prerequisites

Python 3.11+
uv - Fast Python package installer and resolver

Installation

Using Setup Script (Recommended)

./setup.sh

Manual Installation

Clone the repository

git clone https://github.com/yourusername/manus-mcp.git

cd manus-mcp

Create a virtual environment and install dependencies

uv venv

source .venv/bin/activate
uv pip install -e .        # Install the project and its dependencies

Run the server

Make sure your virtual environment is activated

source .venv/bin/activate
./run.py
# or
uvicorn app.main:app --reload

Visit http://localhost:8000/docs to see the API documentation

Development Dependencies

To install development dependencies:

uv pip install -e ".[dev]"

API Documentation

The API follows the Model Context Protocol (MCP) specification.

License

MIT

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