Bring Meeting Transcription
to LangChain
Learn how to connect tl;dv to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with tl;dv through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine tl;dv MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across tl;dv queries for multi-turn workflows
tl;dv in LangChain
tl;dv and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect tl;dv to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters