tl;dv MCP Server for AutoGenGive AutoGen instant access to 12 tools to Get Api Status, Get Meeting Details, Get Meeting Duration, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add tl;dv as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The tl;dv app connector for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="tldv_agent",
tools=tools,
system_message=(
"You help users with tl;dv. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use tl;dv tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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.
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
Connect tl;dv to AutoGen via MCP
Follow these steps to wire tl;dv into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the tl;dv MCP Server
AutoGen provides unique advantages when paired with tl;dv through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use tl;dv tools to solve complex tasks
Role-based architecture lets you assign tl;dv tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive tl;dv tool calls
Code execution sandbox: AutoGen agents can write and run code that processes tl;dv tool responses in an isolated environment
tl;dv + AutoGen Use Cases
Practical scenarios where AutoGen combined with the tl;dv MCP Server delivers measurable value.
Collaborative analysis: one agent queries tl;dv while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from tl;dv, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using tl;dv data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process tl;dv responses in a sandboxed execution environment
Example Prompts for tl;dv in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with tl;dv immediately.
"List all my recorded meetings from this month."
"Summarize the key decisions made in the 'Q4 Roadmap Sync' meeting."
"Show me who attended the meeting with 'Alex' (ID: mtg_88231)."
Troubleshooting tl;dv MCP Server with AutoGen
Common issues when connecting tl;dv to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"tl;dv + AutoGen FAQ
Common questions about integrating tl;dv MCP Server with AutoGen.