How do I find my Speechnotes API credentials?

Log in to your Speechnotes account and navigate to the API or developer section in your dashboard to find your unique API Key and API Secret.

INSTANT PLUG AND PLAY

Speechnotes MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Generate Webhook Signature, Get Remaining Credits, Get Transcription Export, and more

Name: Speechnotes
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Speechnotes through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Speechnotes app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

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="Speechnotes Assistant",
            instructions=(
                "You help users interact with Speechnotes. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Speechnotes"
        )
        print(result.final_output)

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 Speechnotes MCP Server

Connect your Speechnotes account to any AI agent to automate your professional audio transcription and speech-to-text orchestration. Speechnotes provides a high-accuracy AI engine for converting audio files into text, and this integration allows you to initiate transcription jobs from URLs, monitor progress, and export results through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Speechnotes through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Speechnotes, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Transcription Orchestration — Initiate new transcription jobs from audio URLs and retrieve real-time status updates programmatically.
Job & History Lifecycle Management — List all past transcription jobs and retrieve detailed metadata, including timestamps and speaker counts directly from the AI interface.
Export & Format Control — Retrieve transcribed text in multiple formats (TXT, DOCX, SRT) and manage file exports via simple AI commands.
Language & Model Intelligence — Access available transcription languages and AI models to ensure your results are optimized for your specific content.
Operational Monitoring — Check your account credits, monitor usage statistics, and manage webhooks to ensure your transcription pipeline is always synchronized.

The Speechnotes MCP Server exposes 12 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.

All 12 Speechnotes tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Speechnotes through Vinkius, your AI agent gets direct access to every tool listed below — spanning transcription, speech-to-text, audio-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

generate_webhook_signature

Sign payload

get_remaining_credits

Check account balance

get_transcription_export

Export result format

get_transcription_status

Check job progress

get_usage_statistics

Check usage logs

list_configured_webhooks

Get delivery endpoints

list_supported_languages

Get language codes

list_transcription_history

List past jobs

list_transcription_models

Get engine models

remove_transcription_job

Delete job record

test_speechnotes_auth

Check connection

transcribe_audio_url

Transcribe remote file

Connect Speechnotes to OpenAI Agents SDK via MCP

Follow these steps to wire Speechnotes into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Speechnotes

Why Use OpenAI Agents SDK with the Speechnotes MCP Server

OpenAI Agents SDK provides unique advantages when paired with Speechnotes 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

Speechnotes + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Speechnotes MCP Server delivers measurable value.

Automated workflows: build agents that query Speechnotes, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Speechnotes, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Speechnotes tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Speechnotes to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Speechnotes in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Speechnotes immediately.

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

"Transcribe the latest team meeting recording and generate a summary with action items."

"Show me all transcriptions from the past week with their word counts and language detection."

Troubleshooting Speechnotes MCP Server with OpenAI Agents SDK

Common issues when connecting Speechnotes to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Speechnotes + OpenAI Agents SDK FAQ

Common questions about integrating Speechnotes MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use 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?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.