MCP ExplorerExplorer

Mercari Jp Mcp

@msr2903on 10 months ago
3 MIT
FreeCommunity
AI Systems
#mcp#mcp-server#mercari#mercari-jp#mercari-jp-mcp
This is a Model Context Protocol (MCP) server that provides real time data from Japan’s Mercari (jp.mercari.com). It allows you to retrieve information about product and prices (more to come) to be analyzed by LLM.

Overview

What is Mercari Jp Mcp

mercari-jp-mcp is a Model Context Protocol (MCP) server that provides real-time data from Japan’s Mercari platform (jp.mercari.com). It enables users to retrieve information about products and prices for analysis by large language models (LLMs).

Use cases

Use cases for mercari-jp-mcp include analyzing market trends on Mercari, developing price prediction models, and enhancing chatbot responses with up-to-date product information.

How to use

To use mercari-jp-mcp, clone the repository, set up a virtual environment, and install the required dependencies. You can run the server in development mode using ‘uv run server.py’ and test queries with ‘uv run check_server.py’. Integration with Claude for Desktop requires editing the configuration file to include the server’s command and arguments.

Key features

Key features of mercari-jp-mcp include real-time data retrieval, compatibility with large language models, and the ability to filter product queries based on keywords and price ranges.

Where to use

mercari-jp-mcp can be used in fields such as data analysis, e-commerce research, and machine learning applications where real-time product data is valuable.

Content

Demo

Requirements

  • Python 3.11 or higher
  • Dependencies as listed in pyproject.toml, including:
    • mcp
    • mercari
    • pydantic

Pre-setup

  1. uv
    https://docs.astral.sh/uv/getting-started/installation/

  2. Microsoft C++ Build Tools (For Windows)
    https://visualstudio.microsoft.com/visual-cpp-build-tools/

Setup

  1. Clone this repository:

    git clone https://github.com/msr2903/mercari-jp-mcp.git
    cd mercari-jp-mcp
    
  2. Create and activate a virtual environment and install dependencies:

    uv venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    uv pip install -e .
    

Usage

Development Mode

You can test the server with MCP Inspector by running:

uv run server.py

You can also test to input manually the query, exclude keywords, min and max price by running:

uv run check_server.py

This will start the server and allow you to test the available tools.

Integration with Claude for Desktop

To integrate this server with Claude for Desktop:

  1. Install Claude for Desktop to your local machine.

  2. Install VS Code to your local machine. Then run the following command to open the claude_desktop_config.json file:

    • MacOS: code ~/Library/Application\ Support/Claude/claude_desktop_config.json
    • Windows: code $env:AppData\Claude\claude_desktop_config.json
  3. Edit the Claude for Desktop config file, located at:

    • macOS:

      {
        "mcpServers": {
          "mercari": {
            "command": "uv",
            "args": [
              "--directory",
              "/ABSOLUTE/PATH/TO/PARENT/FOLDER/mercari-jp-mcp",
              "run",
              "server.py"
            ]
          }
        }
      }
    • Windows:

      {
        "mcpServers": {
          "mercari": {
            "command": "uv",
            "args": [
              "--directory",
              "C:\\ABSOLUTE\\PATH\\TO\\PARENT\\FOLDER\\mercari-jp-mcp",
              "run",
              "server.py"
            ]
          }
        }
      }
    • Note: You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows.

  4. Restart Claude for Desktop

Thanks

This work would not have been possible without amazing open source projects, including (but not limited to):

Thank you to the authors of these projects for making them available to the community!

Tools

No tools

Comments

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