WeGene Assistant
Analyze your WeGene genetic testing report using large language models.
wegene-assistant MCP server
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.exampleas.envand 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
- Clone this project
- Run
uv sync --dev --all-extrasunder 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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