wegene-assistant MCP server
[](https://smithery.ai/server/@xraywu/mcp-wegene-assistant)
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](https://api.wegene.com) - 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](https://smithery.ai/server/@xraywu/mcp-wegene-assistant):
Insall Locally
Prepare MCP Server
- Clone this project
- 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: