How to Use the Mastodon MCP in OpenAI Agents SDK
Build production-ready Fediverse agents with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mastodon MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mastodon 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.
Track Fediverse trends with your MCP Server
The `get_trending_tags` and `get_trending_statuses` tools pull live data directly from your target instance. Your OpenAI agent runs these checks automatically. It parses the public timeline without hallucinating metrics because it reads the raw JSON from the source. You define the guardrails. If the agent needs to aggregate data across multiple instances, it hands the task to a specialized sub-agent. The SDK traces every `get_public_timeline` call in your dashboard so you know exactly what your system is reading.
Automate status updates and media uploads
The `upload_media` tool handles asynchronous file transfers before the agent executes `post_status`. You pass the local file, the server stages it, and the agent attaches the media ID to the final toot. It handles the sequence natively. Production agents need to clean up after themselves. If a post fails validation, the agent triggers `delete_status`. Every write operation respects the safety constraints you built into the OpenAI Agent constructor.
Manage follows and moderation programmatically
Agents use `follow_account` and `unfollow_account` to curate the feed they analyze. You build logic that monitors specific hashtags using `get_tag_timeline` and automatically follows high-signal accounts. The agent builds its own network. Moderation tools are built in. When your agent detects spam patterns, it triggers `block_account` or `mute_account`. The OpenAI Agents SDK logs these moderation events, giving you a clear audit trail of who your agent blocked and why.
Set up Mastodon 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 Mastodon tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mastodon tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mastodon 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="Mastodon Agent",
instructions="You have access to Mastodon 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 Mastodon. 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.
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Common questions about Mastodon MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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