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CrowdTangle MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CrowdTangle through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="CrowdTangle Assistant",
            instructions=(
                "You help users interact with CrowdTangle. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from CrowdTangle"
        )
        print(result.final_output)

asyncio.run(main())
CrowdTangle
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High SecurityEnterprise-grade
IAMAccess control
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CrowdTangle MCP Server

Integrate CrowdTangle, the public insights tool from Meta, directly into your AI workflow. Monitor social media trends, track how links are being shared across platforms, and identify high-performing content using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from CrowdTangle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CrowdTangle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Post Monitoring — List and search for recent public posts on Facebook, Instagram, and other supported platforms.
  • Viral Discovery — Identify overperforming and viral content based on actual vs. expected interaction.
  • Link Tracking — See which public accounts and pages have shared specific URLs.
  • Leaderboards & Lists — Monitor account leaderboards and manage your custom tracking lists.

The CrowdTangle MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CrowdTangle to OpenAI Agents SDK via MCP

Follow these steps to integrate the CrowdTangle MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from CrowdTangle

Why Use OpenAI Agents SDK with the CrowdTangle MCP Server

OpenAI Agents SDK provides unique advantages when paired with CrowdTangle through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

CrowdTangle + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the CrowdTangle MCP Server delivers measurable value.

01

Automated workflows: build agents that query CrowdTangle, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries CrowdTangle, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through CrowdTangle tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query CrowdTangle to resolve tickets, look up records, and update statuses without human intervention

CrowdTangle MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect CrowdTangle to OpenAI Agents SDK via MCP:

01

get_account_details

Touches dashboard settings, API rate limits, and workspace configuration boundaries. Retrieve metadata for your CrowdTangle account

02

get_account_leaderboard

Resolves account rankings, total interactions, and average engagement rates. Get engagement leaderboard for accounts in your lists

03

get_link_shares

Resolves which tracked accounts shared the link, their follower counts, and total interactions generated per share. See which accounts have shared a specific URL

04

get_post_details

Touches reaction breakdowns, share history, and platform-specific metadata boundaries. Get full engagement details for a specific post ID

05

get_top_performing_posts

Resolves "score" metrics (actual vs expected interactions) and associated social media metadata. Get the highest performing posts based on actual vs. expected interaction

06

list_media_posts

Resolves media URLs, content types (Photo, Video), and associated post captions. List recent posts that contain photos or videos

07

list_monitored_lists

Resolves list IDs, names, platform affiliations, and the number of accounts within each list. List all account lists you are tracking

08

list_recent_posts

Resolves post content, platform identifiers (Facebook, Instagram, etc.), account names, and engagement metrics (likes, shares, comments). List recent social media posts tracked by CrowdTangle

09

search_posts_by_keyword

Resolves relevant posts, associated accounts, and comparative performance data. Search for posts across platforms using a keyword

10

search_tracking_lists

Resolves list metadata matching the specified title filter. Search for specific tracking lists by title

Example Prompts for CrowdTangle in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CrowdTangle immediately.

01

"Search for recent viral posts about 'Electric Vehicles' on Instagram."

02

"Who has shared the link 'https://vinkius.com/blog/mcp-server' recently?"

03

"Show me the engagement leaderboard for my 'Competitors' list."

Troubleshooting CrowdTangle MCP Server with OpenAI Agents SDK

Common issues when connecting CrowdTangle to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

CrowdTangle + OpenAI Agents SDK FAQ

Common questions about integrating CrowdTangle MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect CrowdTangle to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.