tl;dv MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Api Status, Get Meeting Details, Get Meeting Duration, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect tl;dv through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The tl;dv app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to tl;dv "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in tl;dv?"
)
print(result.data)
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.
Pydantic AI validates every tl;dv tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire tl;dv into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the tl;dv MCP Server
Pydantic AI provides unique advantages when paired with tl;dv through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your tl;dv integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your tl;dv connection logic from agent behavior for testable, maintainable code
tl;dv + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the tl;dv MCP Server delivers measurable value.
Type-safe data pipelines: query tl;dv with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple tl;dv tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query tl;dv and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock tl;dv responses and write comprehensive agent tests
Example Prompts for tl;dv in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting tl;dv to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aitl;dv + Pydantic AI FAQ
Common questions about integrating tl;dv MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.