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

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LangChain is the leading Python framework for composable LLM applications. Connect Gladia (Speech AI) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Gladia (Speech AI) MCP Server for LangChain 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

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "gladia-speech-ai": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Gladia (Speech AI), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Gladia (Speech AI) through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

Follow these steps to wire Gladia (Speech AI) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 6 tools from Gladia (Speech AI) via MCP

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

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

01

The largest ecosystem of integrations, chains, and agents. combine Gladia (Speech AI) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Gladia (Speech AI) queries for multi-turn workflows

Gladia (Speech AI) + LangChain Use Cases

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

01

RAG with live data: combine Gladia (Speech AI) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Gladia (Speech AI), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Gladia (Speech AI) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Gladia (Speech AI) tool call, measure latency, and optimize your agent's performance

Example Prompts for Gladia (Speech AI) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Gladia (Speech AI) + LangChain FAQ

Common questions about integrating Gladia (Speech AI) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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