# UniProt MCP

> Use this tool when you need to access comprehensive protein information, including entries, sequences, and features, to solve problems related to protein analysis, functional annotation, and data integration. It provides read-only access to UniProtKB data, allowing for retrieval of specific data such as GO terms, taxonomy, and ID mapping. Ideal for use cases requiring detailed protein knowledge, such as bioinformatics research, protein function prediction, and data curation.

Canonical page: https://skillsregistry.net/skills/io-github-josefdc-uniprot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-josefdc-uniprot-mcp

## Description

Read-only UniProtKB via MCP (entries, sequences, features, GO, taxonomy, ID mapping).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.josefdc%2Funiprot-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": "io-github-josefdc-uniprot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-josefdc-uniprot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-josefdc-uniprot-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