How to Use the CrowdTangle MCP in Google ADK

Q: How do I hook CrowdTangle into Google ADK?

Use the McpToolset class to register the server URL within your agent setup. Once defined, the tools are ready for your Gemini-powered workflows.

Q: Does Google ADK support CrowdTangle tool filtering?

Yes, use the toolnames argument to restrict which MCP tools your agent can execute. This limits the agent's scope to only the data you want it to access.

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Connect CrowdTangle MCP to Google ADK

Create your Vinkius account to connect CrowdTangle to Google ADK 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 Google ADK

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Sync Social Metrics to BigQuery via Google ADK

Pipe engagement stats directly into your Google infrastructure for long-term storage. Using `get_post_details`, your agent grabs specific reaction breakdowns and stores them for historical analysis. This keeps your social data alongside your enterprise datasets. You create a unified view of performance that survives beyond the typical social media cycle.

Automate List Management within Google ADK

Organize your tracking efforts programmatically by using `list_monitored_lists` and `search_tracking_lists`. Your agent maintains your monitoring lists without you needing to touch the browser. It keeps your account lists current based on your latest strategy requirements. Your agent updates your focus areas automatically as new trends emerge.

Analyze Media Content with Google ADK

Pull photos and videos from your feeds using `list_media_posts` to understand which visuals drive engagement. Your agent processes these URLs to categorize the content type for your reports. It sorts through recent media posts to identify high-performing assets. You get a clear picture of what visual content resonates with your specific audience.

Setup guide

Set up CrowdTangle MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CrowdTangle tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CrowdTangle_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CrowdTangle tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Use the `McpToolset` class to register the server URL within your agent setup. Once defined, the tools are ready for your Gemini-powered workflows.

Yes, use the tool_names argument to restrict which MCP tools your agent can execute. This limits the agent's scope to only the data you want it to access.

The server processes all social metadata through a secure, ephemeral session. Your account settings and workspace boundaries remain protected from external access.

Gemini models handle large token counts, allowing you to pass extensive post history from `list_recent_posts` into your reasoning loop. This is ideal for large-scale analysis.

Vinkius enforces strict access controls on every MCP server connection. We ensure that your sensitive workspace configuration stays isolated from other cloud processes.

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