Speechmatics MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Create Job, Create Temp Key, Delete Job, and more

Name: Speechmatics
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 Speechmatics through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Speechmatics MCP Server for Pydantic AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Speechmatics "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Speechmatics MCP Server

Connect Speechmatics to your AI agent to handle advanced audio processing workflows. This server enables high-accuracy transcription and natural-sounding speech synthesis through a simple interface.

Pydantic AI validates every Speechmatics tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Batch Transcription — Submit audio via URL or base64 and process large files with industry-leading accuracy using create_job.
Text-to-Speech (TTS) — Convert text into natural human speech using high-quality voices like Sarah, Theo, Megan, or Jack via generate_tts.
Transcript Retrieval — Export completed transcriptions in multiple formats including JSON, plain text, or SRT subtitles using get_transcript.
Job Management — Monitor the status of your processing tasks, list recent activity, and manage resources with list_jobs and get_job.
Usage & Security — Track your account consumption with get_usage and generate temporary keys for secure client-side access using create_temp_key.

The Speechmatics MCP Server exposes 8 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 8 Speechmatics tools available for Pydantic AI

When Pydantic AI connects to Speechmatics through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, text-to-speech, 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.

create

Create job on Speechmatics

Create a new batch transcription job

create

Create temp key on Speechmatics

Create a temporary API key

delete

Delete job on Speechmatics

Delete a transcription job

generate

Generate tts on Speechmatics

Generate speech from text (TTS)

get

Get job on Speechmatics

Get details for a specific job

get

Get transcript on Speechmatics

Retrieve the transcript for a job

get

Get usage on Speechmatics

Get usage statistics

list

List jobs on Speechmatics

List recent transcription jobs

Connect Speechmatics to Pydantic AI via MCP

Follow these steps to wire Speechmatics 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 8 tools from Speechmatics with type-safe schemas

Why Use Pydantic AI with the Speechmatics MCP Server

Pydantic AI provides unique advantages when paired with Speechmatics 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 Speechmatics integration code

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

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

Speechmatics + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Speechmatics in Pydantic AI

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

"Transcribe the audio file at this URL: https://example.com/audio.mp3"

"Generate an audio file of Sarah saying 'Welcome to the future of speech technology'."

"List my 5 most recent transcription jobs."

Troubleshooting Speechmatics MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Speechmatics + Pydantic AI FAQ

Common questions about integrating Speechmatics 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 Speechmatics MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.