Fetch the full detail record and per-cell results for a concluded split test, including winner cell ID, confidence level, and start/end times, to analyze performance and determine the winning ad set.
Apache 2.0
138,193 tools. Last updated 2026-05-20 08:24
"namespace:io.github.warwickwood-cell" matching MCP tools:
- Assign a cell-type label to a cluster in a MilliMap session, recording the annotation in the session snapshot.MIT
- Identify marker genes for a specific cell type by retrieving clusters annotated with that type and their associated markers.MIT
- Score a gene signature across all cells and add it as a new observation column. Apply published signatures like exhausted T cell markers or EMT genes to enable color-based visualization in MilliMap.MIT
- Fill Excel templates with data at named cells and ranges. Insert cell values and table data into .xlsx files, with optional formula recalculation. Ideal for automating spreadsheet generation.MIT
- Retrieve unique organ and cell type values from the PanglaoDB dataset to filter marker gene searches.Apache 2.0
Matching MCP Servers
- AlicenseBqualityCmaintenanceMachine-readable merchant verification infrastructure for AI shopping agents and agentic commerce systems.Last updated412MIT
- AlicenseBqualityCmaintenancePersonal knowledge graph with 16 MCP tools. Auto-links, deduplicates, tracks themes, synthesizes insights.Last updated177MIT
Matching MCP Connectors
- mcp-exploriumOAuth
Access live company and contact data from Explorium's AgentSource B2B platform.
Merchant verification for AI shopping agents.
- Retrieve marker genes from the PanglaoDB dataset, filtering by species, organ, cell type, gene symbol, or sensitivity/specificity scores.Apache 2.0
- Retrieve gene expression patterns including tissue/cell localization, life stage timing, and associated images from the WormBase database for C. elegans research.MIT
- Apply paragraph alignment, line spacing, spacing above/below, and bullet lists to text in a Google Slide shape, text box, or table cell.MIT
- Extract tables from tagged PDFs: walks structure tree to pull cell text, outputting as Markdown or JSON for structured data.MIT
- Read cell values from a Google Sheets A1 range, optionally including formulas, notes, or hyperlinks. Output limited to 50 rows; widen range or paginate for more.MIT
- Analyze and troubleshoot table structure in Google Docs to resolve data placement errors, verify dimensions, and plan data formatting. Identifies cell positions, content, and insertion points for precise debugging.MIT
- Read cell data from an Anaplan module view. Specify page dimensions with pages param and viewId from saved views or moduleId. For large datasets over 1 million cells, use create_view_readrequest instead.MIT
- Analyze Google Docs table structure to diagnose layout issues, verify dimensions, and identify cell positions before data population.MIT
- Inspect table structure in Google Docs: reveal dimensions, cell positions, content, and insertion indices to diagnose population errors.MIT
- Evaluate location privacy and safety risks for AI agent interactions. Accepts H3 cell or coordinates with optional context, returns risk level, score, and recommendation. Processing is done locally.MIT
- Check spreadsheet formula syntax with WorkPaper's parser before writing to a cell. Prevents syntax errors by verifying formulas upfront.MIT
- Insert a code cell into a Jupyter notebook at a specified position and execute it immediately with configurable timeout settings.BSD 3-Clause
- Write raw content to a single cell, recalculate dependent formulas, and atomically persist the WorkPaper JSON file with verified readback.MIT
- Add a new cell to CodeBook for code execution, documentation, AI processing, data management, or visualization within Circuitry's workflow platform.