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AssemblyAI MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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 "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AssemblyAI?"
    )
    print(result.data)

asyncio.run(main())
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* 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

Empower your AI agent to orchestrate your entire audio intelligence and transcription workflow with AssemblyAI, the leading platform for speech-to-text. By connecting AssemblyAI to your agent, you transform complex audio processing into a natural conversation. Your agent can instantly start transcription jobs from any URL, audit transcript results with high confidence, and manage job history without you ever touching a technical console. Whether you are analyzing podcast content or transcribing meetings, your agent acts as a real-time linguistic assistant, ensuring your audio data is always accessible and searchable.

Pydantic AI validates every AssemblyAI tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

  • Transcription Auditing — Start transcription jobs for any audio or video URL and retrieve cleaned text with speaker labels.
  • Linguistic Oversight — Retrieve transcripts broken down by sentences or paragraphs to maintain a structured view of spoken content.
  • Status Intelligence — Monitor the progress of long-running transcription jobs to ensure timely data delivery.
  • Execution Management — List all past and active transcripts to maintain strict organizational control over your audio assets.
  • Confidence Intelligence — Retrieve confidence scores for each transcription to verify the accuracy of your linguistic data.

The AssemblyAI MCP Server exposes 6 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.

How to Connect AssemblyAI to Pydantic AI via MCP

Follow these steps to integrate the AssemblyAI MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 6 tools from AssemblyAI with type-safe schemas

Why Use Pydantic AI with the AssemblyAI MCP Server

Pydantic AI provides unique advantages when paired with AssemblyAI through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AssemblyAI integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

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.

01

Type-safe data pipelines: query AssemblyAI with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple AssemblyAI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query AssemblyAI and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock AssemblyAI responses and write comprehensive agent tests

AssemblyAI MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect AssemblyAI to Pydantic AI via MCP:

01

delete_transcript

Delete a transcription record

02

get_transcript

Get the result of a transcription job

03

get_transcript_paragraphs

Get the transcript broken down by paragraphs

04

get_transcript_sentences

Get the transcript broken down by sentences

05

list_transcripts

List all transcription jobs

06

transcribe_audio

Start a transcription job for an audio/video URL

Example Prompts for AssemblyAI in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with AssemblyAI immediately.

01

"Transcribe the audio file at https://example.com/podcast.mp3 using AssemblyAI."

02

"Show me the result for transcript ID xxxx."

03

"List all my past AssemblyAI transcripts."

Troubleshooting AssemblyAI MCP Server with Pydantic AI

Common issues when connecting AssemblyAI to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AssemblyAI + Pydantic AI FAQ

Common questions about integrating AssemblyAI MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AssemblyAI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect AssemblyAI to Pydantic AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.