AssemblyAI MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Delete Transcript, Get Chapters, Get Sentiments, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AssemblyAI 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 AssemblyAI app connector for Pydantic AI is a standout in the Ai Frontier category — giving your AI agent 9 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 AssemblyAI "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in AssemblyAI?"
)
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 AssemblyAI MCP Server
Connect your AssemblyAI account to any AI agent and take full control of your high-fidelity audio transcription and speech intelligence workflows through natural conversation.
Pydantic AI validates every AssemblyAI tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Speech-to-Text Orchestration — Programmatically transcribe public audio or video URLs using state-of-the-art MARS models with superhuman accuracy
- Audio Intelligence — Extract high-fidelity insights including automated summaries, sentiment analysis, and topic detection directly through your agent
- Speaker Diarization Architecture — Retrieve detailed utterances separated by speaker labels to coordinate meeting minutes and interview transcripts perfectly
- Content Discovery — Access automated chapters and high-fidelity video recaps to maintain a perfectly coordinated media library
- Lifecycle Management — Monitor transcription job status and manage your directory of recent transcripts directly through your agent for instant reporting
The AssemblyAI MCP Server exposes 9 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 9 AssemblyAI tools available for Pydantic AI
When Pydantic AI connects to AssemblyAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-intelligence, 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.
Delete a transcript
Get auto-chapters
Get sentiment analysis
Get speaker labels
Get auto-summary
Get topic detection
Get transcript status/result
List recent transcripts
Transcribe audio URL
Connect AssemblyAI to Pydantic AI via MCP
Follow these steps to wire AssemblyAI 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 AssemblyAI MCP Server
Pydantic AI provides unique advantages when paired with AssemblyAI 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 AssemblyAI integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AssemblyAI connection logic from agent behavior for testable, maintainable code
AssemblyAI + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AssemblyAI MCP Server delivers measurable value.
Type-safe data pipelines: query AssemblyAI with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AssemblyAI tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AssemblyAI and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AssemblyAI responses and write comprehensive agent tests
Example Prompts for AssemblyAI in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AssemblyAI immediately.
"Transcribe this podcast URL: 'https://example.com/audio.mp3' and enable speaker diarization."
"Show my 5 most recent transcription jobs."
"Get the sentiment analysis for transcript 'tr_123'."
Troubleshooting AssemblyAI MCP Server with Pydantic AI
Common issues when connecting AssemblyAI to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAssemblyAI + Pydantic AI FAQ
Common questions about integrating AssemblyAI 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.