# mcp-server-bluesky-py

> mcp-server-bluesky-py — khleel213-mcp-server-bluesky-py. Use this tool when you need to optimize social network interactions for AI agents, enabling efficient communication and data exchange. It solves problems related to scalable and standardized protocol implementation, providing a lightweight Python server for Bluesky integration. The mcp-server-bluesky-py tool takes in MCP requests and outputs optimized responses, ideal for use cases requiring seamless AI-agent interactions on social networks.

Canonical page: https://skillsregistry.net/skills/khleel213-mcp-server-bluesky-py  
JSON: https://api.skillsregistry.net/v1/skills/khleel213-mcp-server-bluesky-py

## Description

🤖 Optimize social network interactions for AI agents with a lightweight Python server implementing the Model Context Protocol (MCP) for Bluesky.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/khleel213/mcp-server-bluesky-py)

## 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": "khleel213-mcp-server-bluesky-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khleel213-mcp-server-bluesky-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khleel213-mcp-server-bluesky-py/pull`

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