PortOne MCP Server: Real-Time Debugging & Seamless Integration

Empower developers to build, test, and deploy cross-platform apps faster with real-time debugging and seamless integration via PortOne MCP Server.

Visit Repository

✨ Developer Tools

4.4(162 reviews)

243 saves

113 comments

Ranked in the top 10% of all AI tools in its category

About PortOne MCP Server

What is PortOne MCP Server: Real-Time Debugging & Seamless Integration?

PortOne MCP Server is a specialized tool designed for developers using PortOne's platform. It acts as a bridge between PortOne's developer documentation and Large Language Models (LLMs), enabling real-time access to context-specific information during development. This server ensures developers can quickly retrieve accurate documentation details without interrupting their workflow.

How to Use PortOne MCP Server: Real-Time Debugging & Seamless Integration?

Implementing the server involves a straightforward setup process:

Install uv and Python 3.12+.
Configure the server in Claude Desktop by adding the following to Edit Config under Settings → Developer:
```
"portone-mcp-server": {
  "command": "uvx",
  "args": ["portone-mcp-server"]
}
```
Restart Claude Desktop to activate the server. For IDEs like Cursor or Windsurf, apply the same configuration method.
Execute the server via uv run portone-mcp-server and verify functionality through integration tests.

PortOne MCP Server Features

Key Features of PortOne MCP Server: Real-Time Debugging & Seamless Integration?

Context-aware documentation access: Instantly fetch PortOne API details directly within your IDE.
IDE Agnostic: Works seamlessly with MCP-supporting tools like Cursor and Windsurf, not limited to Claude Desktop.
Automated workflows: Built-in testing (pytest) and linting (ruff) streamline quality assurance.
Version control integration: Simplified package publishing via uv publish after updating pyproject.toml.

Use Cases of PortOne MCP Server: Real-Time Debugging & Seamless Integration?

Typical scenarios include:

On-demand documentation lookup during code writing to avoid context switching.
Automating repetitive setup tasks via the uv package manager.
Collaborative development where real-time API updates are critical for consistency.
Continuous integration pipelines leveraging the server's structured output for validation steps.

PortOne MCP Server FAQ

FAQ from PortOne MCP Server: Real-Time Debugging & Seamless Integration?

Is Python 3.11 supported?: No, Python 3.12+ is required due to dependency requirements.
How do I troubleshoot server startup failures?: Verify absolute paths in command args and ensure uv is globally installed. Check logs for missing dependencies.
Can I customize documentation sources?: Currently, the server is preconfigured for PortOne documentation. Customization options may be added in future releases.
What happens during version upgrades?: Use uv sync to refresh dependencies and update pyproject.toml versions before re-publishing.

Content