wegene-assistant MCP server
About
Analyze your WeGene genetic testing report using large language models.
Details
- Author
- xraywu
- Downloads
- 248
- Categories
- Other, AI
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- Exposes WeGene reports as resources via custom wegene:// URIs
- Begins OAuth authorization in the browser (120‑second timeout)
- Lists all profiles under the user’s WeGene account
- Returns available report names, descriptions, and endpoints
- Retrieves full JSON results for a specific report and profile
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
wegene-assistant MCP serverCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via Smithery with npx -y @smithery/cli install @xraywu/mcp-wegene-assistant --client claude, or clone the repository locally and run uv sync --dev --all-extras. Configure the MCP server in Claude Desktop’s claude_desktop_config.json using the uv command. You must provide your own WeGene Open API key and secret in a .env file.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"wegene-assistant mcp server": {
"mcp-wegene-assistant": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@xraywu/mcp-wegene-assistant",
"--client",
"claude"
]
}
}
}
}
McpServers
{
"mcp-wegene-assistant": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@xraywu/mcp-wegene-assistant",
"--client",
"claude"
]
}
}
MCP server for WeGene Assistant, using LLM to analyze a user's WeGene genetic testing report.
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
- 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.
- Profiles' name and id will be returned for LLM to use.
- A list of report names, descriptions, endpoints, etc. will be returned
- Returns the result JSON specified inWeGene'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
- You will need WeGene Open API key/secret to use this project.
- Copy.env.exampleas.envand update the key and secret in the file.
To install WeGene Assistant for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install @xraywu/mcp-wegene-assistant --client claude
- Clone this project
- Runuv sync --dev --all-extrasunder the project's root folder
- 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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