Predictive intelligence for drug discovery

by nullary · development · mcp-server, smithery

Nullary is an MCP server providing structured, citable access to negative results in drug discovery. Every record carries full provenance (DOI, PMID, source URL, license). Covers 7 modalities: small molecules (84.5M records), CRISPR (37.6M), clinical trials (104K terminated), peptides, antibodies, PROTACs, and oligonucleotides. Sources include ChEMBL, PubChem BioAssay, DepMap, BioGRID ORCS, GenomeCRISPR, ClinicalTrials.gov, EudraCT, Drugs@FDA, Thera-SAbDab, SAbDab, FLAb, PROTAC-DB, THPdb, AOBas

Source: https://nullary.ai

Install

git clone https://nullary.ai

Tags: mcp-server, smithery

34 GitHub stars · Source: smithery

About development MCP servers and Claude skills

development MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

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Frequently asked questions

How do I install Predictive intelligence for drug discovery?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support Predictive intelligence for drug discovery?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is Predictive intelligence for drug discovery free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.