How to Use the Kitetags MCP in Google ADK

Q: How do I add the Kitetags tools to a Gemini agent using Google ADK?

You wrap the server endpoint in an McpToolset and pass it to your LlmAgent's tool list. Google ADK handles the connection and exposes tools like searchtags to the Gemini model.

Q: Can I limit which Kitetags tools my Google ADK agent can use?

Yes, the McpToolset constructor accepts a toolnames filter. You can provide a list to expose only specific tools, like searchtags and gettaganalytics, while blocking others like deletegroup.

Q: How can I use Kitetags with Google ADK to analyze trends over time?

Schedule a recurring agent to call gettaganalytics for your target hashtags. Have the agent write the timestamped results to a BigQuery table. Now you can run SQL queries to analyze tag performance trends.

Connect Gemini agents to Instagram and TikTok trends with Google ADK. Turn your BigQuery insights into high-reach social media campaigns.

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Connect Kitetags MCP to Google ADK

Create your Vinkius account to connect Kitetags 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 Kitetags with Google ADK

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Find Tags Based on Your Cloud Data

This tool gives your Gemini agent a direct line to social media trends. Your agent can take a topic from a BigQuery result, feed it to `search_tags`, and get back a list of hashtags optimized for TikTok and Instagram. The results from `get_tag_analytics` can then be written back to a Google Cloud Storage bucket or another BigQuery table. This creates a feedback loop, letting you track tag performance right alongside your other business metrics.

Build Enterprise-Scale Tag Taxonomies

Don't just search for tags; build a structured system. Use `create_group` to organize tags by product line, marketing quarter, or any other business logic you have stored in your databases. It’s designed for managing complexity. A Gemini agent running on Google ADK can use `list_groups` to get an overview of all your campaigns, then use `list_group_tags` to pull the right set for a new post. This MCP Server provides the tools to execute a structured marketing strategy.

Keep Your Tag Analytics Fresh

Social media trends change fast. Your agent can use `get_tag_analytics` to get fresh data on a tag's reach and engagement potential before using it. Stop relying on old information. You can set up a scheduled agent in Vertex AI to periodically run `get_tag_analytics` on your key branded tags. This way, you have an up-to-date view of your brand's hashtag health without any manual work.

Setup guide

Set up Kitetags 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 Kitetags 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="Kitetags_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Kitetags 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 Kitetags. 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 Kitetags MCP in Google ADK

You wrap the server endpoint in an `McpToolset` and pass it to your `LlmAgent`'s tool list. Google ADK handles the connection and exposes tools like `search_tags` to the Gemini model.

Yes, the `McpToolset` constructor accepts a `tool_names` filter. You can provide a list to expose only specific tools, like `search_tags` and `get_tag_analytics`, while blocking others like `delete_group`.

Schedule a recurring agent to call `get_tag_analytics` for your target hashtags. Have the agent write the timestamped results to a BigQuery table. Now you can run SQL queries to analyze tag performance trends.

Yes. An agent powered by a model like Gemini 1.5 Pro can analyze large reports from your internal systems, then use Kitetags tools to formulate a social media strategy based on that deep context.

Kitetags processes the hashtag strings and group identifiers you send it, along with the performance metrics it gathers. Vinkius isolates each MCP server in its own V8 sandbox, ensuring your session's data is not accessible by anyone else. All communication is encrypted over HTTPS.

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