# Augmented-Nature-UniProt-MCP-Server

> Augmented-Nature-UniProt-MCP-Server — augmented-nature-augmented-nature-uniprot-mcp-server. Use this tool when you need to access and analyze protein data from the UniProt database, providing advanced querying and retrieval capabilities through the Model Context Protocol (MCP) server. It solves problems related to protein research, annotation, and analysis by offering a comprehensive interface for data retrieval and integration. Ideal for bioinformatics and proteomics applications, it accepts queries and returns protein data in a standardized format.

Canonical page: https://skillsregistry.net/skills/augmented-nature-augmented-nature-uniprot-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/augmented-nature-augmented-nature-uniprot-mcp-server

## Description

A comprehensive Model Context Protocol (MCP) server providing advanced access to the UniProt protein database.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Augmented-Nature/Augmented-Nature-UniProt-MCP-Server)

## 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": "augmented-nature-augmented-nature-uniprot-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-augmented-nature-uniprot-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/augmented-nature-augmented-nature-uniprot-mcp-server/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