Search drug targets, compounds, papers, and trials for preclinical discovery research.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mosaic-mcp" yet — see the docs or source repo.
Using this MCP tool, find key drug targets related to Alzheimer's disease, rank them by paper count, related compound count, and clinical trial activity, and provide brief notes for the top 10 targets.
A prioritized target list with evidence strength, related compounds, and clinical activity summaries.
Query the main compounds targeting EGFR, summarize their mechanisms of action, related patents, clinical trial phases, and representative papers, and format the results as a comparison table.
A compound comparison table for evaluating the competitive landscape and R&D opportunities.
Create a preclinical intelligence brief for non-small cell lung cancer, covering hot targets, key compounds, recent paper trends, active clinical trials, and major patent signals.
A structured research brief for project planning, literature review, or competitive analysis.
Search ChEMBL bioactivity data and compound properties from Claude or ChatGPT.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.
Look up compounds and calculate molecular weights and isotope distributions.
Query biomedical and pharma APIs for trials, drugs, molecules, and literature.
Connect AI to life science databases and tools for bioinformatics workflows.
Search clinical evidence, regulatory data, and literature with grounded context.