Plaud MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Plaud through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Plaud Assistant",
instructions=(
"You help users interact with Plaud. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Plaud"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Plaud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Plaud, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Plaud MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Plaud
Why Use OpenAI Agents SDK with the Plaud MCP Server
OpenAI Agents SDK provides unique advantages when paired with Plaud through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Plaud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Plaud MCP Server delivers measurable value.
Automated workflows: build agents that query Plaud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Plaud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Plaud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Plaud to resolve tickets, look up records, and update statuses without human intervention
Plaud MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Plaud to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Plaud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Plaud + OpenAI Agents SDK FAQ
Common questions about integrating Plaud MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Plaud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Plaud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.