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tl;dv MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Get Api Status, Get Meeting Details, Get Meeting Duration, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The tl;dv app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="tl;dv Assistant",
            instructions=(
                "You help users interact with tl;dv. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
tl;dv
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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 tl;dv MCP Server

Connect your tl;dv account to any AI agent and simplify how you manage your meeting recordings, transcripts, and AI-generated insights through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from tl;dv through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries tl;dv, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Meeting Oversight — List all recorded meetings and retrieve detailed metadata, including participants and duration.
  • Transcript Access — Fetch full transcriptions for any meeting to search for specific discussion points.
  • AI Insights — Read AI-generated notes, summaries, and key moments (highlights) to quickly understand meeting outcomes.
  • External Import — Programmatically import meeting recordings from external URLs for processing.
  • Content Retrieval — Get direct download links for video recordings and access recent transcripts instantly.
  • Operational Monitoring — Check API connectivity and account status directly from the agent.

The tl;dv MCP Server exposes 12 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.

All 12 tl;dv tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to tl;dv through Vinkius, your AI agent gets direct access to every tool listed below — spanning meeting-transcription, call-recording, summarization, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_api_status

Check connection

get_meeting_details

Get meeting info

get_meeting_duration

Check call length

get_meeting_highlights

Get key moments

get_meeting_notes

Read AI summaries

get_meeting_participants

List attendees

get_meeting_transcript

Read transcription

get_recording_download

Get video file URL

import_external_meeting

Upload recording URL

list_recent_transcripts

List latest transcripts

list_recorded_meetings

List recent meetings

test_tldv_auth

Verify credentials

Connect tl;dv to OpenAI Agents SDK via MCP

Follow these steps to wire tl;dv into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from tl;dv

Why Use OpenAI Agents SDK with the tl;dv MCP Server

OpenAI Agents SDK provides unique advantages when paired with tl;dv 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

tl;dv + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the tl;dv MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for tl;dv in OpenAI Agents SDK

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

01

"List all my recorded meetings from this month."

02

"Summarize the key decisions made in the 'Q4 Roadmap Sync' meeting."

03

"Show me who attended the meeting with 'Alex' (ID: mtg_88231)."

Troubleshooting tl;dv MCP Server with OpenAI Agents SDK

Common issues when connecting tl;dv 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.

tl;dv + OpenAI Agents SDK FAQ

Common questions about integrating tl;dv 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.