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Mosaic Pre-Clinical Intelligence

Official

by sourabhnk ยท Python

Pre-clinical drug-target intelligence: 60 curated targets, 1,969 counted partner genes, 11 tools

io.github.sourabhnk/mosaic-mcp โ€” Model Context Protocol (MCP) Server

This MCP server provides pre-clinical drug-target intelligence via a curated set of tools. The repository description lists 60 curated targets and 2,687 counted partner genes, exposed as tool access through Model Context Protocol.

๐Ÿ› ๏ธ Key Features

  • 60 curated drug targets
  • 2,687 counted partner genes
  • 12 tools (as reported in metadata)
  • MCP tool layer that ships queries, not data

๐Ÿš€ Use Cases

  • Querying drug-target intelligence in pre-clinical drug discovery
  • Using an MCP tool interface over a PostgreSQL instance you control

โšก Developer Benefits

  • Bring-your-own-database model using PostgreSQL you control
  • Tooling focused on serving queries over controlled infrastructure

โš ๏ธ Limitations

  • No data is included as public read-only access; it requires your PostgreSQL setup
  • Tool-layer scope is limited to queries, not dataset hosting

Topics

bioinformaticsdrug-discoveryknowledge-graphllm-toolsmcpmodel-context-protocolpharma