# plant-genomics-mcp

> Use this tool when you need to retrieve comprehensive gene metadata and functional annotations for plant genomics research, taking a TAIR-style locus as input and returning detailed information across multiple public databases. It solves problems of data integration and synthesis, providing a unified interface to 11 free public backends. Use it for single-locus, batch, or cross-source queries to uncover gene interactions, co-expression, and literature references.

Canonical page: https://skillsregistry.net/skills/musharna-plant-genomics-mcp  
JSON: https://api.skillsregistry.net/v1/skills/musharna-plant-genomics-mcp

## Description

▎ Provides 32 tools for plant-genomics locus lookup across 11 free public backends (Ensembl Plants, Phytozome, UniProtKB, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, BAR). Takes a TAIR-style locus plus optional organism and returns gene metadata, functional/pathway annotation, interactions, co-expression, and literature — in single-locus, batch, and cross-source synthesis.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p630pshr79)
- **Repository:** <https://github.com/musharna/plant-genomics-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "musharna-plant-genomics-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/musharna-plant-genomics-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/musharna-plant-genomics-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt