# interpro-mcp

> interpro-mcp — ebi-pf-team-interpro-mcp. Use this tool when you need to access and integrate InterPro data into your applications, solving problems related to protein family identification and functional analysis. It provides a server-based interface for querying and retrieving InterPro data, accepting input queries and returning relevant protein family and functional information. Ideal for use cases involving bioinformatics and proteomics research, where integration with version control systems like git is also supported.

Canonical page: https://skillsregistry.net/skills/ebi-pf-team-interpro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ebi-pf-team-interpro-mcp

## Description

MCP server for accessing InterPro data

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ebi-pf-team/interpro-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": "ebi-pf-team-interpro-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ebi-pf-team-interpro-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ebi-pf-team-interpro-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