How to Use the Bluesky Social MCP in OpenAI Agents SDK
Build production agents with OpenAI Agents SDK that post to Bluesky Social automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bluesky Social MCP to OpenAI Agents SDK
Create your Vinkius account to connect Bluesky Social to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate Bluesky Social with OpenAI Agents SDK
Your agent handles content distribution by invoking `create_post` directly from your Python logic. It skips the manual web interface entirely. Built-in guardrails in the SDK inspect every call before it hits the network. You define the safety constraints and the agent respects them.
Manage your social graph in code
Control your connections by passing user handles to `follow_user` or `mute_user` inside your agent loop. It keeps your network clean without human intervention. Tracing via the OpenAI dashboard gives you visibility into these actions. You see exactly when a tool executes and what the API returned.
Pull real-time feed data
Your agent reads your timeline using `list_timeline` to decide if it needs to reply or interact. It processes the stream based on your custom logic. Since this MCP Server supports async calls, your agent stays responsive. It processes updates while keeping your production system stable.
Set up Bluesky Social MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Bluesky Social tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Bluesky Social tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Bluesky Social tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Bluesky Social Agent",
instructions="You have access to Bluesky Social tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bluesky Social. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Bluesky Social MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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