musharna/plant-genomics-mcp
by Various
Plant genomics MCP server — 32 tools across 11 backends (Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, BAR) + cross-sourc
MCP
musharna/plant-genomics-mcp
Added 8 June 2026
Overview
A Model Context Protocol server that exposes 32 plant genomics tools across 11 backends including Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, and BAR. It supports stdio and Streamable-HTTP transports and can synthesize results across sources.
Best for
Best for
Developers building AI agents or pipelines that need unified access to plant genomics data
Use cases
- Query gene annotations and sequences from multiple plant genomics databases via a single interface
- Run BLAST searches against plant genomes and retrieve functional enrichment data
- Cross-reference gene identifiers and pathway data across Ensembl, KEGG, and STRING-DB
Notes
A Model Context Protocol server that exposes 32 plant genomics tools across 11 backends including Ensembl Plants, Phytozome, UniProt, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, and BAR. It supports stdio and Streamable-HTTP transports and can synthesize results across sources.
0 stars on GitHub. Last updated 2026-06-07. Licensed MIT.
Use cases
- Query gene annotations and sequences from multiple plant genomics databases via a single interface
- Run BLAST searches against plant genomes and retrieve functional enrichment data
- Cross-reference gene identifiers and pathway data across Ensembl, KEGG, and STRING-DB
Pros
- Covers a wide range of major plant genomics databases in one tool
- Supports both local stdio and HTTP streaming transports for flexible integration
- Cross-source synthesis reduces manual data merging
Cons
- Zero stars and no community traction yet
- Requires running a Python MCP server, adding deployment overhead
- Dependence on external APIs means reliability varies by backend uptime
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of major plant genomics databases in one tool
- Supports both local stdio and HTTP streaming transports for flexible integration
- Cross-source synthesis reduces manual data merging
Cons
- Zero stars and no community traction yet
- Requires running a Python MCP server, adding deployment overhead
- Dependence on external APIs means reliability varies by backend uptime
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