How to Use the CrowdTangle MCP in OpenAI Agents SDK

Connect CrowdTangle to your OpenAI Agents SDK for production-grade social media intelligence and tracking.

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Connect CrowdTangle MCP to OpenAI Agents SDK

Create your Vinkius account to connect CrowdTangle 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.

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Setup CrowdTangle with OpenAI Agents SDK

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Monitor Viral Posts in OpenAI Agents SDK

Feed your agent real-time social data to track how content spreads across platforms. By using `list_recent_posts` and `search_posts_by_keyword`, your agent identifies viral shifts as they happen. Your agent parses these results to build internal reports without manual intervention. It triggers alerts when specific keywords gain traction in your tracked feeds.

Analyze Account Performance with CrowdTangle

Get deep metrics on how specific accounts interact with your audience. The `get_account_leaderboard` tool provides the raw engagement data needed for your agent to rank influencers accurately. Data returns directly into your agent's context window for immediate decision-making. You avoid digging through dashboards because the agent handles the heavy lifting of sorting interactions.

Trace Link Shares Across Public Feeds

Verify where your URLs appear by querying `get_link_shares` directly from your agent. It maps out which accounts shared your content and tracks the total engagement generated from those specific shares. This workflow gives your agent visibility into the reach of your links. It turns opaque social metrics into actionable data points for your production pipeline.

Setup guide

Set up CrowdTangle MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CrowdTangle tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CrowdTangle tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CrowdTangle tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="CrowdTangle Agent",
            instructions="You have access to CrowdTangle tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CrowdTangle. 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 CrowdTangle MCP in OpenAI Agents SDK

Install the necessary packages and point the MCP server to your Vinkius endpoint. Your agent automatically detects the available tools through the SDK's discovery mechanism.

Yes, you can script your agent to filter results returned by `list_recent_posts` based on your specific criteria. The agent evaluates the data locally before proceeding with further actions.

The server only transmits requested social metadata from the API to your agent. Vinkius maintains a secure transport layer, ensuring no unauthorized parties view your list configurations.

The agent receives a clear error response from the MCP server. You can write custom logic in your agent to retry the request or log the failure to your dashboard.

Each request is isolated within the Vinkius sandbox. Your API token is the only credential needed, and it's never exposed to the public internet.

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