Bring Meeting Transcription
to OpenAI Agents SDK
Learn how to connect tl;dv to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your tl;dv API Key (found in your account settings)
3. Start managing your meeting knowledge base from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers & Researchers — quickly retrieve meeting summaries and highlights via simple AI queries.
- Sales Teams — verify discussion points and share transcripts directly from the workspace.
- Operations Managers — monitor meeting logs and maintain a central repository of recorded organizational knowledge via the AI assistant.
Built-in capabilities (12)
Check connection
Get meeting info
Check call length
Get key moments
Read AI summaries
List attendees
Read transcription
Get video file URL
Upload recording URL
List latest transcripts
List recent meetings
Verify credentials
Why OpenAI Agents SDK?
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.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
tl;dv in OpenAI Agents SDK
tl;dv and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect tl;dv to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for tl;dv in OpenAI Agents SDK
The tl;dv 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
tl;dv for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the tl;dv MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the AI-generated notes for a specific meeting?
Yes! Use the get_meeting_notes tool and provide the Meeting ID. Your agent will retrieve the complete AI summary and key points recorded for that session.
How do I search for a specific discussion point in the transcript?
Run the get_meeting_transcript query with the Meeting ID. The agent will retrieve the full text, allowing you to ask the AI to find or summarize specific parts of the conversation.
Is it possible to list the participants of a meeting via AI?
Absolutely. Use the get_meeting_participants tool and provide the Meeting ID. The agent will return the directory of everyone who attended the recorded session.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
