Nullary - Negative Results Intelligence For Drug Discovery

by nullary-ai

228 downloads
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GitHub

About

Nullary is a hosted MCP server that lets AI agents query measured negative results from drug discovery: inactive compounds, failed selectivity panels, terminated clinical trials, failed CRISPR screens, antibody developability failures, and more — each result carrying full provena

Details

Author
nullary-ai
Downloads
228
Categories
Other

- Queries failed compounds, trials, and screens by target
- Supports small molecule, CRISPR, antibody, peptide modalities
- Includes PROTAC, clinical trial, and other modalities
- Every response cites its source

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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Nullary - Negative Results Intelligence For Drug Discovery
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Interact by asking natural language questions about negative results in drug discovery, such as "What's failed against EGFR?" or "Which kinase inhibitors were inactive in ChEMBL?" The README does not specify installation or configuration steps.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "nullary - negative results intelligence for drug discovery": {
            "nullary": {
                "url": "https://mcp.nullary.ai/mcp"
            }
        }
    }
}

McpServers

{
    "nullary": {
        "url": "https://mcp.nullary.ai/mcp"
    }
}

What you can ask

- "What's failed against EGFR?" — failed compounds, trials, and screens for a target, across modalities

- "Which kinase inhibitors were inactive in ChEMBL?"

- "Show terminated Phase 2 oncology trials and why they stopped"

- "Failed CRISPR knockouts for TP53"

Tools are organized by modality (small molecule, CRISPR, antibody, peptide, PROTAC, clinical trial, …); every response cites its source.

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