How do I start a new transcription?

Use the `create_job` tool and provide the public URL of your audio or video file. Your agent will initiate the process and provide a Job ID.

Can I check if a transcription is finished?

Yes. Use the `get_job` tool with the Job ID. It will return the current status and, if completed, the transcribed text.

How can I clean up my transcription history?

Use the `delete_job` tool and provide the Job ID. This permanently removes the transcription data from your 3Scribe account.

3Scribe MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: 3Scribe
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect 3Scribe through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 3Scribe "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in 3Scribe?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 3Scribe MCP Server

Unlock the power of spoken word with 3Scribe, your automated partner for high-precision audio and video transcription. By connecting 3Scribe to your AI agent, you eliminate the friction of manual data entry from media files. Your agent can now orchestrate the entire transcription lifecycle—from submitting public URLs to auditing job statuses and retrieving final text—all through simple natural language commands. Whether it’s meeting minutes or video captions, your agent acts as a direct bridge to 3Scribe's powerful recognition engine.

Pydantic AI validates every 3Scribe tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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

Automated Transcription — Create new transcription jobs by providing a public URL to your audio or video files
Job Monitoring — Track the status of your transcriptions in real-time (Requested, Processing, Completed, Error)
Text Retrieval — Access raw text transcripts or detailed word-level data with timestamps and speaker IDs
Project Management — List all transcription jobs, filter by status, and delete old or unnecessary projects
Language Detection — Specify transcription languages or let the AI auto-detect the spoken language

The 3Scribe MCP Server exposes 4 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 3Scribe to Pydantic AI via MCP

Follow these steps to integrate the 3Scribe MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 4 tools from 3Scribe with type-safe schemas

Why Use Pydantic AI with the 3Scribe MCP Server

Pydantic AI provides unique advantages when paired with 3Scribe 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 3Scribe integration code

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

Dependency injection system cleanly separates your 3Scribe connection logic from agent behavior for testable, maintainable code

3Scribe + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the 3Scribe MCP Server delivers measurable value.

Type-safe data pipelines: query 3Scribe with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple 3Scribe tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query 3Scribe and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock 3Scribe responses and write comprehensive agent tests

3Scribe MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect 3Scribe to Pydantic AI via MCP:

create_job

You must provide a valid public URL. Returns a Job ID useful for tracking progress. Initiate a new audio or video transcription job in 3Scribe via a public media URL

delete_job

This is an irreversible destructive action. Requires the Job ID. Permanently delete a transcription task and its associated data from the 3Scribe account

get_job

You must provide the Job ID. Check the status and retrieve the generated text of a specific 3Scribe transcription job

list_jobs

Retrieve a paginated list of all transcription tasks from the 3Scribe account

Example Prompts for 3Scribe in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with 3Scribe immediately.

"Transcribe the audio from this URL: https://example.com/podcast.mp3"

"What is the status of my transcription job 54321?"

"Delete my old transcription job with ID 99999."

Troubleshooting 3Scribe MCP Server with Pydantic AI

Common issues when connecting 3Scribe to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

3Scribe + Pydantic AI FAQ

Common questions about integrating 3Scribe MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your 3Scribe MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.