# uniprot-mcp

> Use this tool when you need to access and query UniProtKB protein data, such as retrieving protein sequences, Gene Ontology annotations, or ID mappings. It provides a typed and resilient interface for seamless data retrieval, solving problems related to protein data analysis and integration. Ideal for use cases involving bioinformatics research, protein function analysis, and data mining, where reliable access to UniProtKB data is required.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-uniprot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-uniprot-mcp

## Description

Provides seamless access to UniProtKB protein data, enabling querying of protein entries, sequences, Gene Ontology annotations, and ID mappings through a typed, resilient interface.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/acqqvt2rg1)
- **Repository:** <https://github.com/fastmcp-me/uniprot-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": "fastmcp-me-uniprot-mcp"
    }
  }
}
```

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