Query cell type markers from the CellMarker database using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "biomarker-mcp" yet — see the docs or source repo.
Please query the CellMarker database for common markers of T cells and list them by name.
A list of markers associated with T cells for further research or organization.
Help me find marker information related to hepatocytes and return results from the CellMarker database.
Results from CellMarker with marker information related to hepatocytes.
Please query markers for B cells and macrophages separately and organize them into two groups.
Two grouped marker result sets for the cell types, making comparison easier.
Researchers can use natural language to quickly look up markers for specific cell types while reading papers or designing experiments. This helps them retrieve candidate information from the CellMarker database faster.
Data analysts can query markers for target cell types before working on single-cell or related biological data. This helps with organizing analysis plans and reference information.
Students can ask natural-language questions when learning relationships between cell types and markers. Compared with manual database lookup, this approach is more direct and time-saving.
This is an MCP tool that lets users query cell type markers in the CellMarker database using natural language. Its core capability is turning natural-language requests into database lookups.
The provided description indicates that it uses the CellMarker database as its data source. For database version or coverage details, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. Please see the source repository for deployment details and prerequisites.
Access PIASO single-cell omics docs and live marker database for coding agents.
Access biomedical APIs to explore genes, drugs, diseases, and clinical research.
Annotate scRNA-seq cell types and manage CellTypist models with natural language.
Intercept biological database queries and log context for auditable scientific evidence.
Connect AI to life science databases and tools for bioinformatics workflows.
Retrieve verified literature metadata, citations, and audit manuscript citation accuracy.