What credentials are required to use this server?
You need a WeGene Open API key and secret. Place them in a `.env` file as shown in `.env.example`.
@xraywu
基本信息
MCP server to analyze your genetic test results from WeGene
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-wegene-assistant": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@xraywu/mcp-wegene-assistant",
"--client",
"claude"
]
}
}
}** Start a WeGene Open API oAuth process in the browser
** Read the profile list under a user's WeGene account
** Return the report meta info so LLM will know what reports are available.
** Read the results of a single report under a profile
A Model Context Protocol (MCP) server that enables LLMs to access and analyze a user’s WeGene genetic testing report. It retrieves profile and report data from WeGene’s Open API, letting AI assistants interpret genetic results for the authorized account.
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.
wegene:// URIsYou need a WeGene Open API key and secret. Place them in a `.env` file as shown in `.env.example`.
You can install it automatically via Smithery with `npx` or manually by cloning the repo and running `uv sync`.
Four tools: `wegene-oauth` (start OAuth), `wegene-get-profiles` (list user profiles), `wegene-get-report-info` (list available reports), and `wegene-get-report` (fetch a specific report’s JSON).
The user must complete authorization within 120 seconds, otherwise the LLM will not be able to access the reports.
Results are returned as JSON, following the structure defined by WeGene’s Open API platform (https://api.wegene.com).

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