Pre-clinical drug-target intelligence as an MCP server: target profiles, compounds, literature, structure, clinical pipeline, validation precedent and whitespace analysis — 11 tools, 5 free and 6…
mosaic for drug target intelligence is an MCP project maintained in the sourabhnk/mosaic-mcp repository. The maintainer describes its purpose as “Pre-clinical drug-target intelligence as an MCP server: target profiles, compounds, literature, structure, clinical pipeline, validation precedent and whitespace analysis — 11 tools, 5 free and…”. Read the project documentation for the complete scope.
The project provides a local client configuration using mosaic-mcp. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares DATABASE_URL. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| mosaic_get_target_profile | The target dossier: biology, approved and clinical drugs, disease associations ranked by Open Targets, validation evidence, organisations, scores — each axis… |
| mosaic_get_target_compounds | Compounds with measured activity on the target; sort by potency (default) or by max clinical phase |
| mosaic_get_target_papers | Papers about the target, matched by NCBI Gene ID (PubTator3) where your database has the annotations, up to the declared corpus cutoff |
| mosaic_get_target_structure | AlphaFold structural snapshot and pockets, with a caution when a pocket is lined by low-confidence residues |
| mosaic_get_coverage_grid | A coverage grid for any human gene symbol: identity (HGNC) and structure (AlphaFold DB) resolve live; the other axes are marked queued |
| mosaic_clinical_pipeline | Clinical trials for compounds acting on the target (a ChEMBL mechanism link or pChEMBL ≥ 6) |
| mosaic_target_validation | Assay precedent: what has been tried, in what model system |
| mosaic_pathway_context | The pathways the target sits in |
| mosaic_target_network | The target's 1-hop neighbourhood: compounds, diseases, pathways, organisations, interacting proteins |
| mosaic_synthetic_lethal_whitespace | Partners functionally coupled to the target with little drug activity — assessed candidates and unassessed partners kept apart |
| mosaic_resistance_bypass_map | Candidate resistance-bypass and escape targets |
{
"mcpServers": {
"mosaic": {
"command": "mosaic-mcp",
"env": {
"DATABASE_URL": "postgresql://USER:PASSWORD@YOUR-HOST:5432/mosaic_db?sslmode=require"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| DATABASE_URL | Declared in the maintainer’s client configuration. | Check documentation |
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Scholarly search: OpenAlex, Crossref, arXiv, OpenCitations and PubMed in one endpoint.
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Scholarly search: OpenAlex, Crossref, arXiv, OpenCitations and PubMed in one endpoint.
Academic research search across PubMed and arXiv
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