# BlueSky

> Use this tool when you need to access and analyze BlueSky social network data, such as user profiles and social graph information, to enable use cases like user analysis and content discovery. It provides a simplified interface to the BlueSky API, handling authentication and errors, and outputs relevant social data for AI assistants and applications. Ideal for applications requiring social network insights without direct API complexity.

Canonical page: https://skillsregistry.net/skills/berlinbra-bluesky  
JSON: https://api.skillsregistry.net/v1/skills/berlinbra-bluesky

## Description

This BlueSky MCP server, developed by berlinbra, provides access to BlueSky social network data through its official API. Built with Python and leveraging the Model Context Protocol, it offers tools for retrieving user profiles and social graph information. The implementation features built-in authentication handling, session management, and comprehensive error handling. It's particularly useful for AI assistants and applications needing to incorporate BlueSky social data, enabling use cases such as user analysis, network visualization, and content discovery without directly dealing with the complexities of the BlueSky API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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