# plant-public-mcp

> plant-public-mcp — presisitence-plant-public-mcp. Use this tool when you need to access public plant bioinformatics data and APIs for gene lookups, protein summaries, and functional annotations. It provides a unified interface to various databases, including UniProt, NCBI, and Ensembl Plants, and supports natural language queries. Ideal for researchers and developers seeking to integrate plant bioinformatics data into their applications without requiring local data storage.

Canonical page: https://skillsregistry.net/skills/presisitence-plant-public-mcp  
JSON: https://api.skillsregistry.net/v1/skills/presisitence-plant-public-mcp

## Description

An MCP server providing public plant bioinformatics APIs including UniProt, NCBI, InterProScan, PDB, AlphaFold, Ensembl Plants, and web-based resources like Sol Genomics and BAR, without local data. It supports gene lookups, protein summaries, structure retrieval, and functional annotations through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/owdun52dto)
- **Repository:** <https://github.com/Presisitence/plant-public-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": "presisitence-plant-public-mcp"
    }
  }
}
```

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