How to Use the Tactiq MCP in OpenAI Agents SDK

Q: How do I search for specific topics using Tactiq with OpenAI Agents SDK?

You use the searchtranscripts tool. This lets your agent query all transcripts against a precise keyword or phrase. It’s much better than trying to match keywords across an entire meeting description.

Q: Can I list all meetings using Tactiq with OpenAI Agents SDK?

Yes, run listmeetings. This gives you a master roster of every session recorded. Knowing when and what was discussed helps your agent decide which transcripts to pull next.

Q: How do I verify if the MCP Server is running correctly with Tactiq and OpenAI Agents SDK?

You check connectivity using checktactiqstatus. This tool verifies that the API connection is live before your agent tries to pull complex data like action items or summaries. It's a necessary guardrail.

Q: Do I need to worry about speaker identification when using Tactiq with OpenAI Agents SDK?

No, you don’t. The listspeakers tool gives your agent a roster of all people who spoke in the recorded sessions. This helps attribute specific comments or contributions accurately.

Automate meeting intelligence processing with your OpenAI Agents SDK.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Tactiq MCP to OpenAI Agents SDK

Create your Vinkius account to connect Tactiq to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Tactiq with OpenAI Agents SDK

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Extract actionable items from meetings

The `get_action_items` tool pulls out every assigned task and deadline. It gives you a clean list of who needs to do what, so your agents don't have to manually read through the whole transcript. This is huge for production systems. You can feed the output directly into another workflow agent, knowing that the data structure is already validated for tasks.

Summarize and analyze meeting content

Need a quick overview? The `get_summary` tool processes transcripts and provides immediate key takeaways. This saves your agents from having to read hours of raw dialogue. When combined with `list_insights`, you get more than just a summary; you surface patterns, sentiment shifts, and topics that came up repeatedly across multiple recorded sessions.

Search across all recordings

Don't rely on remembering who said what. The `search_transcripts` tool lets your agent pinpoint specific moments in time. You can search by keyword, speaker name, or date range. This makes historical data retrieval reliable. If a stakeholder asks about a decision made last quarter, you just run the search and give them the exact snippet.

Setup guide

Set up Tactiq 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 Tactiq tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Tactiq 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="Tactiq Agent",
            instructions="You have access to Tactiq tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Tactiq MCP in OpenAI Agents SDK

You use the `search_transcripts` tool. This lets your agent query all transcripts against a precise keyword or phrase. It’s much better than trying to match keywords across an entire meeting description.

This server handles multiple data points, including raw speech transcripts, identified action items (tasks), speaker names, and generated summaries. The agent has access to the full spectrum of meeting intelligence.

Yes, run `list_meetings`. This gives you a master roster of every session recorded. Knowing when and what was discussed helps your agent decide which transcripts to pull next.

You check connectivity using `check_tactiq_status`. This tool verifies that the API connection is live before your agent tries to pull complex data like action items or summaries. It's a necessary guardrail.

No, you don’t. The `list_speakers` tool gives your agent a roster of all people who spoke in the recorded sessions. This helps attribute specific comments or contributions accurately.

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