# Relate Account Python Server

> Use this tool when you need to link and analyze user identities across multiple platforms, solving problems of identity fragmentation and data siloing. It provides efficient retrieval and analysis of user identity bindings through web3.bio's GraphQL API, with a streamable HTTP MCP server interface for seamless integration. Ideal for use cases requiring unified user data, such as identity verification, customer profiling, and data enrichment.

Canonical page: https://skillsregistry.net/skills/spacestation09-relate-account-mcp-python  
JSON: https://api.skillsregistry.net/v1/skills/spacestation09-relate-account-mcp-python

## Description

Provide identity linkage and analysis by querying user-related information across platforms using web3.bio's GraphQL API. Enable clients to retrieve and analyze user identity bindings efficiently. Facilitate integration via a streamable HTTP MCP server interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/SpaceStation09/relate-account-mcp-python)

## 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": "spacestation09-relate-account-mcp-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spacestation09-relate-account-mcp-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spacestation09-relate-account-mcp-python/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