How do I find my Plaud Access Token?

Log in to [**web.plaud.ai**](https://web.plaud.ai), open DevTools (F12), go to **Application** > **Local Storage**, and look for `tokenstr`. Copy and paste it into the field below.

What is the Plaud API Domain?

It is the base URL for the Plaud API (e.g., `https://api-euc1.plaud.ai`). You can find it in your browser's Local Storage under `plaud_user_api_domain`.

Can the agent retrieve full AI summaries?

Yes. Use the `get_summary` tool with the File ID. Your agent will fetch the structured AI summary, including key points and action items.

Plaud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Plaud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Plaud 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 Plaud "
            "(10 tools)."
        ),
    )

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

Empower your AI agent to orchestrate your entire voice-to-intelligence ecosystem with Plaud, the AI voice recorder. By connecting Plaud to your agent, you transform complex recording management into a natural conversation. Your agent can instantly list your files, retrieve AI-generated transcripts, and audit meeting summaries without you ever touching a dashboard. Whether you are capturing client meetings, lectures, or personal notes, your agent acts as a real-time intelligence assistant, ensuring your spoken data is always accessible and organized.

Pydantic AI validates every Plaud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Recording Auditing — List all recordings in your account and retrieve detailed metadata for each, including creation dates.
Intelligence Extraction — Query full transcripts and AI summaries for any recording instantly to capture key insights.
Organization Management — List all folders and tags to keep your recording library structured and easy to browse.
Data Governance — Update file names and autonomously delete recordings when they are no longer needed.
Asset Access — Retrieve secure download URLs for your audio files to maintain local backups or share recordings.

The Plaud MCP Server exposes 10 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 Plaud to Pydantic AI via MCP

Follow these steps to integrate the Plaud 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 10 tools from Plaud with type-safe schemas

Why Use Pydantic AI with the Plaud MCP Server

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

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

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

Plaud + Pydantic AI Use Cases

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

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

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

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

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

Plaud MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Plaud to Pydantic AI via MCP:

delete_file

Delete a Plaud recording

get_download_url

Get MP3 download URL for a recording

get_file_detail

Get details for a specific recording

get_me

Get Plaud account details

get_summary

Get AI summary for a recording

get_transcript

Get transcription for a recording

list_files

List all Plaud recordings

list_folders

List all recording folders

list_tags

List all recording tags

update_file

Update recording metadata

Example Prompts for Plaud in Pydantic AI

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

"List my last 5 recordings in Plaud."

"Summarize the recording titled 'Strategy Session'."

"Show me my recording folders."

Troubleshooting Plaud MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Plaud + Pydantic AI FAQ

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