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DeepMap MCP
Supports UIby saurabhsing21
High-performance functional genomics analysis using Broad Institute's DepMap CRISPR datasets for cancer research.
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Works in:claude
Exposes:Tools
What it does\nProvides LLMs with structured access to the Broad Institute's DepMap (Cancer Dependency Map) data. It acts as a low-latency bridge to perform functional genomics analysis across 1,000+ cancer cell lines, specifically optimized for therapeutic target evidence collection.\n\n## Tools\n- search_depmap_gene: Search for valid HGNC gene symbols within the dataset.\n- get_depmap_gene_dependency_summary: Retrieve global statistical metrics (average gene effect, confidence scores) for a specific gene.\n- get_depmap_top_cell_line_dependencies: Identify the cancer models most sensitive to the loss of a target gene.\n- get_depmap_dataset_metadata: Access provenance data about the local CRISPR cache.\n\n## Installation\nAdd the following to your claude_desktop_config.json:\n\njson\n{\n "mcpServers": {\n "deepmap-mcp": {\n "command": "deepmap-mcp",\n "args": ["--transport", "stdio"],\n "env": {\n "DEEPMAP_MCP_DATASET_PATH": "/YOUR/ABSOLUTE/PATH/TO/CRISPRGeneEffect.csv"\n }\n }\n }\n}\n\n\n## Supported hosts\nClaude Desktop
Quick install
pip install deepmap-mcpInformation
- Pricing
- free
- Published
- 4/28/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Claude Desktop
{\n "mcpServers": {\n "deepmap-mcp": {\n "command": "deepmap-mcp",\n "args": ["--transport", "stdio"],\n "env": {\n "DEEPMAP_MCP_DATASET_PATH": "/YOUR/ABSOLUTE/PATH/TO/CRISPRGeneEffect.csv"\n }\n }\n }\n}





