# UniProt

> Use this tool when you need to access protein information, such as function, sequence, and attributes, to incorporate into bioinformatics applications, protein research, or other workflows. It retrieves data from the UniProt database via API integration and provides cached results with a 24-hour TTL. Ideal for AI systems that require protein data analysis or reasoning, this tool simplifies access to UniProt data and handles rate limiting and retries.

Canonical page: https://skillsregistry.net/skills/takumiy235-uniprot  
JSON: https://api.skillsregistry.net/v1/skills/takumiy235-uniprot

## Description

This UniProt MCP server, developed by TakumiY235, provides AI assistants with access to protein information from the UniProt database. It integrates with the UniProt API to retrieve data on protein function, sequence, and other attributes. The server implements caching with a 24-hour TTL to improve performance and handles rate limiting and retries. By abstracting UniProt data access, it enables AI systems to easily incorporate protein information into their workflows. This implementation is particularly useful for bioinformatics applications, protein research, and any AI system that needs to reason about or analyze protein data.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/takumiy235-uniprot)
- **Repository:** <https://github.com/takumiy235/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": "takumiy235-uniprot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/takumiy235-uniprot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/takumiy235-uniprot/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