4,000+ servers built on vurb.ts
Vinkius

Gladia (Speech AI) MCP Server for AutoGenGive AutoGen instant access to 6 tools to Delete Transcription, Get Transcription, Init Live Session, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for AutoGen

The Gladia (Speech AI) MCP Server for AutoGen is a standout in the Productivity category — giving your AI agent 6 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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="gladia_speech_ai_agent",
            tools=tools,
            system_message=(
                "You help users with Gladia (Speech AI). "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Gladia (Speech AI)
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 Gladia (Speech AI) MCP Server

Connect Gladia to your AI agent to unlock enterprise-grade speech-to-text capabilities. Process audio files or live streams with advanced features like speaker diarization, multi-language translation, and automated summarization.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gladia (Speech AI) tools. Connect 6 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

  • Audio Processing — Upload local files to generate secure URLs for immediate transcription processing.
  • Advanced Transcription — Initiate jobs with speaker diarization (who said what), summarization, and translation across 100+ languages.
  • Audio-to-LLM — Apply custom LLM prompts directly to your audio data to extract specific insights or structured data.
  • Live Streaming — Initialize secure WebSocket sessions for real-time transcription of meetings or broadcasts.
  • Job Management — List, retrieve, and manage your transcription history and results directly through conversation.

The Gladia (Speech AI) MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Gladia (Speech AI) tools available for AutoGen

When AutoGen connects to Gladia (Speech AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-analysis, 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.

delete

Delete transcription on Gladia (Speech AI)

Delete a transcription job

get

Get transcription on Gladia (Speech AI)

Get status and results of a transcription job

init

Init live session on Gladia (Speech AI)

Initiate a live transcription session

init

Init transcription on Gladia (Speech AI)

Start a pre-recorded transcription job

list

List transcriptions on Gladia (Speech AI)

List pre-recorded transcriptions

upload

Upload audio file on Gladia (Speech AI)

Upload an audio file to Gladia

Connect Gladia (Speech AI) to AutoGen via MCP

Follow these steps to wire Gladia (Speech AI) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind 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 6 tools from Gladia (Speech AI) automatically

Why Use AutoGen with the Gladia (Speech AI) MCP Server

AutoGen provides unique advantages when paired with Gladia (Speech AI) through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gladia (Speech AI) tools to solve complex tasks

02

Role-based architecture lets you assign Gladia (Speech AI) 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 Gladia (Speech AI) tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Gladia (Speech AI) tool responses in an isolated environment

Gladia (Speech AI) + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Gladia (Speech AI) MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Gladia (Speech AI) while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Gladia (Speech AI), a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Gladia (Speech AI) data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Gladia (Speech AI) responses in a sandboxed execution environment

Example Prompts for Gladia (Speech AI) in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Gladia (Speech AI) immediately.

01

"List my 5 most recent transcription jobs."

02

"Start a transcription for this audio URL with summarization enabled: https://example.com/audio.mp3"

03

"I need a WebSocket URL to start a live transcription session in 16000Hz."

Troubleshooting Gladia (Speech AI) MCP Server with AutoGen

Common issues when connecting Gladia (Speech AI) to AutoGen through Vinkius, and how to resolve them.

01

McpWorkbench not found

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

Gladia (Speech AI) + AutoGen FAQ

Common questions about integrating Gladia (Speech AI) 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 Gladia (Speech AI) 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.

Explore More MCP Servers

View all →