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Ranomics Platform

@leowan7

关于 Ranomics Platform

Wet-lab triage for AI binder-design agents. Submit computational protein designs, get back yeast-display enrichment and called hits.

基本信息

分类

其他

传输方式

stdio

发布者

leowan7

提交者

leowan7

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ranomics": {
      "url": "https://mcp.ranomics.com/mcp",
      "headers": {
        "Authorization": "Bearer rk_live_..."
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Ranomics Platform?

The Ranomics MCP server gives AI binder-design agents programmatic access to wet-lab validation through the Ranomics Platform. It is designed for workflows that need to triage thousands of computationally designed protein or antibody candidates before committing to per-sequence biophysics.

How to use Ranomics Platform?

Obtain a Bearer token from https://tools.ranomics.com/account/api-keys and configure the server with that token. Then invoke any of the seven tools: list_targets, estimate_cost, submit_experiment, get_experiment_status, get_experiment_quote, confirm_quote, or get_experiment_results.

Key features of Ranomics Platform?

  • Programmatic access to wet-lab protein validation
  • Supports yeast surface display, mammalian display, DMS
  • Returns enrichment ratios, NGS counts, and called hits
  • Designed for AI workflows with 10,000+ candidates
  • Seven tools cover the full experiment lifecycle
  • Uses streamable-http transport with Bearer token auth

Use cases of Ranomics Platform?

  • Enrich top candidates from MPNN or RFdiffusion designs
  • Triage BindCraft antibody candidates before biophysics
  • Validate large panels of computationally designed proteins
  • Integrate wet-lab screening directly into AI agent pipelines

FAQ from Ranomics Platform

What authentication is required?

A Bearer token from https://tools.ranomics.com/account/api-keys must be provided.

What transport protocol does the server use?

Streamable HTTP.

How many candidates can be submitted in one experiment?

The server is designed for workflows with 10,000+ candidates, enabling

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