Gladia (Speech AI) MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Delete Transcription, Get Transcription, Init Live Session, and more

Name: Gladia (Speech AI)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Gladia (Speech AI) MCP Server for Pydantic AI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Gladia (Speech AI) "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gladia (Speech AI)?"
    )
    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 Gladia (Speech AI) MCP Server

Connect Gladia to your AI agent to unlock enterprise-grade speech-to-text capabilities. Process audio files or live streams with advanced features like speaker diarization, multi-language translation, and automated summarization.

Pydantic AI validates every Gladia (Speech AI) 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

Audio Processing — Upload local files to generate secure URLs for immediate transcription processing.
Advanced Transcription — Initiate jobs with speaker diarization (who said what), summarization, and translation across 100+ languages.
Audio-to-LLM — Apply custom LLM prompts directly to your audio data to extract specific insights or structured data.
Live Streaming — Initialize secure WebSocket sessions for real-time transcription of meetings or broadcasts.
Job Management — List, retrieve, and manage your transcription history and results directly through conversation.

The Gladia (Speech AI) MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Gladia (Speech AI) tools available for Pydantic AI

When Pydantic AI connects to Gladia (Speech AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete transcription on Gladia (Speech AI)

Delete a transcription job

get

Get transcription on Gladia (Speech AI)

Get status and results of a transcription job

init

Init live session on Gladia (Speech AI)

Initiate a live transcription session

init

Init transcription on Gladia (Speech AI)

Start a pre-recorded transcription job

list

List transcriptions on Gladia (Speech AI)

List pre-recorded transcriptions

upload

Upload audio file on Gladia (Speech AI)

Upload an audio file to Gladia

Connect Gladia (Speech AI) to Pydantic AI via MCP

Follow these steps to wire Gladia (Speech AI) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Gladia (Speech AI) with type-safe schemas

Why Use Pydantic AI with the Gladia (Speech AI) MCP Server

Pydantic AI provides unique advantages when paired with Gladia (Speech AI) 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 Gladia (Speech AI) integration code

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

Dependency injection system cleanly separates your Gladia (Speech AI) connection logic from agent behavior for testable, maintainable code

Gladia (Speech AI) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gladia (Speech AI) MCP Server delivers measurable value.

Type-safe data pipelines: query Gladia (Speech AI) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Gladia (Speech AI) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Gladia (Speech AI) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Gladia (Speech AI) responses and write comprehensive agent tests

Example Prompts for Gladia (Speech AI) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Gladia (Speech AI) immediately.

"List my 5 most recent transcription jobs."

"Start a transcription for this audio URL with summarization enabled: https://example.com/audio.mp3"

"I need a WebSocket URL to start a live transcription session in 16000Hz."

Troubleshooting Gladia (Speech AI) MCP Server with Pydantic AI

Common issues when connecting Gladia (Speech AI) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gladia (Speech AI) + Pydantic AI FAQ

Common questions about integrating Gladia (Speech AI) 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 Gladia (Speech AI) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.