How to Use the Kitetags MCP in OpenAI Agents SDK

Q: What's the best way to use Kitetags with the OpenAI Agents SDK for multiple campaigns?

Use the creategroup tool to make a separate group for each campaign. Your agent can then fetch tags specifically for that context using listgrouptags. This keeps your marketing efforts organized and traceable.

Q: Does Kitetags work with the async features of the OpenAI Agents SDK?

Absolutely. You connect to the server using MCPServerStreamableHttp within an async with block. All tool calls are awaitable, so they fit right into modern Python agent code.

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Connect Kitetags MCP to OpenAI Agents SDK

Create your Vinkius account to connect Kitetags 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 Kitetags with OpenAI Agents SDK

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Find Trending Tags, Automatically

This tool lets your OpenAI agent find relevant hashtags. Use `search_tags` with a topic, and it returns a list of optimized tags based on current trends. It's not just guessing; it's pulling data to inform its choices. You can build a workflow where your agent gets post ideas, uses `search_tags` to find the right tags, and then calls `get_tag_analytics` to double-check their potential reach before you ever post. It's a closed loop for data-driven content strategy.

Organize Campaigns with This MCP Server

Kitetags isn't just a one-off search tool. You can structure your work with `create_group` to build collections for different campaigns, products, or clients. It keeps everything organized instead of having a messy, flat list of tags. Your agent can then use `list_groups` to see all active campaigns and `list_group_tags` to pull the specific set of hashtags for a new post. The OpenAI dashboard traces every call, so you see exactly which groups your agent accessed.

Manage Your Tag Library

Your tag lists won't get stale. Your agent can add new discoveries with `create_tag` or clean up old, irrelevant ones using `delete_tag`. You have full control over the data. If you're not sure about a tag, your agent can call `get_tag` to see its details. This whole system gives your OpenAI agent a persistent memory for hashtags, which you can manage programmatically.

Setup guide

Set up Kitetags 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 Kitetags tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Kitetags 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="Kitetags Agent",
            instructions="You have access to Kitetags 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 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 OpenAI Agents SDK

It's automatic. Once you pass the Kitetags MCP server endpoint to the Agent constructor, it introspects the server and makes all 12 tools available. You don't need to define them manually.

Yes. The OpenAI Agents SDK has built-in guardrails. You can configure it to require human confirmation before executing destructive actions like `delete_group` or `delete_tag`, protecting your campaigns.

Use the `create_group` tool to make a separate group for each campaign. Your agent can then fetch tags specifically for that context using `list_group_tags`. This keeps your marketing efforts organized and traceable.

Absolutely. You connect to the server using `MCPServerStreamableHttp` within an `async with` block. All tool calls are awaitable, so they fit right into modern Python agent code.

Kitetags processes your hashtag search queries, group names, and the resulting tag analytics data. Vinkius runs each server in a zero-trust, ephemeral sandbox. Your connection is authenticated with a single token, and the environment is isolated from other users.

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