Wegene Assistant MCP Server
Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.
xraywu
Tools
wegene-oauth
Authorizing a user's account using WeGene Open API with oAuth2 protocol and retrieve a valid access token for further use
wegene-get-profiles
Retrieve all the profiles under the current account
wegene-get-report-info
Get all available report information
wegene-get-report
Get a specific genetic test report from a profile
README
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.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
- 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:
{
"mcpServers": {
"wegene-assistant": {
"command": "uv",
"args": [
"--directory",
"/path/to/wegene-assistant",
"run",
"wegene-assistant"
]
}
}
}
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