About CodePortal MCP Server
CodePortal MCP Server organizes code files into structured projects and offers local text generation through OpenAI or Google. It is for developers managing project files or generating text, with settings and API keys kept locally.
Key features
- 01Organize projects with Script_starter.py
- 02Store API keys locally
- 03Generate text through OpenAI or Google
- 04Restrict access to localhost by default
- 05Auto-shutdown after 15 minutes
Use cases
- 01Turn multiple code files into a project
- 02Generate text locally through OpenAI
- 03Generate text locally through Google
MCP support
This project is an MCP server for MCP clients; its README focuses on project organization and local AI text generation capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECodePortal MCP Server
This server helps you organize code files into properly structured projects and provides direct access to AI models like OpenAI and Google.
Features
- Project Organization - Structure projects using your existing Script_starter.py
- Security First - All settings are local and secure
- API Key Management - Store your OpenAI and Google keys securely
- Direct AI Access - Generate text from OpenAI or Google directly on your computer
- Auto-shutdown - Server closes after 15 minutes to keep your system clean
Getting Started
-
Clone this repository to your computer
git clone https://github.com/TylerALofall/code-portal-mcp.git cd code-portal-mcp -
Double-click
start_server.batto start the server -
Open your browser to http://localhost:8001/setup
- Complete the initial setup
- Configure your Script_starter.py paths
Using the AI Features
- Visit http://localhost:8001/ai/ui after starting the server
- Add your API keys in the "API Keys" tab:
- OpenAI key (starts with
sk-) - Google Generative AI key (starts with
AIza)
- OpenAI key (starts with
- Use the "Generate Text" tab to:
- Choose your provider (OpenAI or Google)
- Enter your prompt
- Get AI responses directly on your computer
Project Management
The server can create properly organized projects from multiple files:
import requests
# Files to organize
files = {
"main.py": "# Your Python code here",
"utils.py": "# Utility functions",
"README.md": "# Project Documentation"
}
# Send to CodePortal
response = requests.post(
"http://localhost:8001/createProject",
json={
"project_path": "C:/Users/tyler/Projects/my_project",
"project_name": "My Project",
"files": files
}
)
print(response.json())
Security
- All API keys are stored locally on your computer
- The server only runs when you start it
- Auto-shutdown after 15 minutes
- Access restricted to localhost by default
For Advanced Users
You can enable external access by:
- Going to http://localhost:8001/setup
- Enabling "Public API Mode"
- Setting a secure API key
This allows you to send files from other computers or AI services.
Using with Other AI Models
See external_api.md for instructions on using with Claude or other external models.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.