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Speechnotes MCP Server for AutoGenGive AutoGen instant access to 12 tools to Generate Webhook Signature, Get Remaining Credits, Get Transcription Export, and more

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Speechnotes as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this App Connector for AutoGen

The Speechnotes app connector for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="speechnotes_agent",
            tools=tools,
            system_message=(
                "You help users with Speechnotes. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Speechnotes
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 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Speechnotes tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 12 tools from Speechnotes automatically

Why Use AutoGen with the Speechnotes MCP Server

AutoGen provides unique advantages when paired with Speechnotes through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Speechnotes tools to solve complex tasks

02

Role-based architecture lets you assign Speechnotes tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Speechnotes tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Speechnotes tool responses in an isolated environment

Speechnotes + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Speechnotes MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Speechnotes while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Speechnotes, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Speechnotes data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Speechnotes responses in a sandboxed execution environment

Example Prompts for Speechnotes in AutoGen

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

01

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

02

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

03

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

Troubleshooting Speechnotes MCP Server with AutoGen

Common issues when connecting Speechnotes to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Speechnotes + AutoGen FAQ

Common questions about integrating Speechnotes MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Speechnotes tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.