Go UPC Barcode

MCP Server generated by mcp.ag2.ai

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ag2-mcp-servers-go-upc-barcode-lookup-api": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "{...}",
        "SECURITY": "API_KEYS=YOUR_API_KEY",
        "CONFIG_PATH": "/path/to/mcp_server/mcp_config.json"
      }
    }
  }
}

You operate a dedicated MCP (Model Context Protocol) server that exposes your Go UPC Barcode Lookup API through a consistent MCP interface. This server enables clients to query barcode information and related context by sending MCP requests and receiving structured responses, without worrying about underlying HTTP details. It is designed to be run locally or in a development environment and to interoperate with MCP clients via standard transports.

How to use

Start the server in stdio mode so your MCP client can communicate directly over a standard input/output channel. Run the provided Python command to launch the server, then connect your MCP client to the running process. You can also configure the server to accept inputs through a configured transport if you opt into alternative modes later.

How to install

Prerequisites: Python 3.9+ and the uv tool for optional local execution.

Clone the repository:

git clone <repository-url>
cd mcp-server

Install dependencies using the development extras. This installs the MCP server runtime and development tools.

pip install -e ".[dev]"

If you prefer to use uv to run dependency tooling, you can install editable development packages with uv.

uv pip install --editable ".[dev]"

Additional information

Running the server supports multiple transport modes, including stdio, server-sent events (sse), and streamable-http. For local development, the stdio mode is demonstrated above.

You can verify and validate code quality and testing with linting, static analysis, and tests. The project uses a set of scripts for these tasks.

Transport, configuration, and security

The server is configured and started with environment variables. Common options include:

CONFIG_PATH: Path to a JSON configuration file (for example, mcp_server/mcp_config.json).

CONFIG: A JSON string containing the configuration for the MCP server.

SECURITY: Environment variables for security parameters (for example, API keys).

Building and publishing

Build and publish tooling is provided to package and distribute the MCP server artifacts. Use the project’s build and publish commands to create distributables and release them.

Configuration and runtime examples

To start the server in stdio mode, use the following command sequence. This is the runtime command you would place in your orchestration or startup script.

Tools and utilities

The project includes tooling for linting, static analysis, and tests. Typical commands used during development include lint checks, static analysis, and test runs. See below for example commands you can run locally.

Available tools

ruff

Linting and formatting tool used to enforce code style and quality.

mypy

Static type checker to catch type errors and improve reliability.

pytest

Testing framework used to run unit and integration tests.

pre-commit

Hooks configured to run checks before each commit.

hatch

Builds and publishes the MCP server package.