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Wegene Assistant MCP Server

by xraywu

wegene-assistant MCP server

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MCP server for WeGene Assistant, using LLM to analyze a user's WeGene genetic testing report.

Components

Resources

Once a user is authorized, all the reports under his/her account will be exposed as a resource:

  • Custom wegene:// URI scheme for accessing each individual report

  • A report resource has a name, description and application/json mimetype

Tools

The server implements one tool:

  • wegene-oauth: Start a WeGene Open API oAuth process in the browser

    • The user should complete the authorization in 120 seconds so LLM will be able to further access the reports.

  • wegene-get-profiles: Read the profile list under a user's WeGene account

    • Profiles' name and id will be returned for LLM to use.

  • wegene-get-report-info: Return the report meta info so LLM will know what reports are available.

    • A list of report names, descriptions, endpoints, etc. will be returned

  • wegene-get-report: Read the results of a single report under a profile

    • Returns the result JSON specified in WeGene's Open API platform

    • Arguements

      • report_endpoint: The report's endpoint to be retrieved from

      • report_id: The report's id to be retrieved

      • profile_id: The profile id to retrieve report from

Configuration

  • You will need WeGene Open API key/secret to use this project.

  • Copy .env.example as .env and update the key and secret in the file.

Quickstart

Install

Installing via Smithery

To install WeGene Assistant for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @xraywu/mcp-wegene-assistant --client claude

Insall Locally

Prepare MCP Server
  1. Clone this project

  2. Run uv sync --dev --all-extras under the project's root folder

Claude Desktop Configuration
  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

Add below contents in the configuration file:

{ "mcpServers": { "wegene-assistant": { "command": "uv", "args": [ "--directory", "/path/to/wegene-assistant", "run", "wegene-assistant" ] } } }

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