How do I start a new transcription?

Use the `create_job` tool and provide the public URL of your audio or video file. Your agent will initiate the process and provide a Job ID.

Can I check if a transcription is finished?

Yes. Use the `get_job` tool with the Job ID. It will return the current status and, if completed, the transcribed text.

How can I clean up my transcription history?

Use the `delete_job` tool and provide the Job ID. This permanently removes the transcription data from your 3Scribe account.

3Scribe MCP Server for LangChain 4 tools — connect in under 2 minutes

Name: 3Scribe
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect 3Scribe through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "3scribe": {
            "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 3Scribe, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 3Scribe MCP Server

Unlock the power of spoken word with 3Scribe, your automated partner for high-precision audio and video transcription. By connecting 3Scribe to your AI agent, you eliminate the friction of manual data entry from media files. Your agent can now orchestrate the entire transcription lifecycle—from submitting public URLs to auditing job statuses and retrieving final text—all through simple natural language commands. Whether it’s meeting minutes or video captions, your agent acts as a direct bridge to 3Scribe's powerful recognition engine.

LangChain's ecosystem of 500+ components combines seamlessly with 3Scribe through native MCP adapters. Connect 4 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

Automated Transcription — Create new transcription jobs by providing a public URL to your audio or video files
Job Monitoring — Track the status of your transcriptions in real-time (Requested, Processing, Completed, Error)
Text Retrieval — Access raw text transcripts or detailed word-level data with timestamps and speaker IDs
Project Management — List all transcription jobs, filter by status, and delete old or unnecessary projects
Language Detection — Specify transcription languages or let the AI auto-detect the spoken language

The 3Scribe MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain 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 3Scribe to LangChain via MCP

Follow these steps to integrate the 3Scribe MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 4 tools from 3Scribe via MCP

Why Use LangChain with the 3Scribe MCP Server

LangChain provides unique advantages when paired with 3Scribe through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine 3Scribe MCP tools with 500+ LangChain components

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

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

Memory and conversation persistence let agents maintain context across 3Scribe queries for multi-turn workflows

3Scribe + LangChain Use Cases

Practical scenarios where LangChain combined with the 3Scribe MCP Server delivers measurable value.

RAG with live data: combine 3Scribe tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query 3Scribe, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain 3Scribe tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every 3Scribe tool call, measure latency, and optimize your agent's performance

3Scribe MCP Tools for LangChain (4)

These 4 tools become available when you connect 3Scribe to LangChain via MCP:

create_job

You must provide a valid public URL. Returns a Job ID useful for tracking progress. Initiate a new audio or video transcription job in 3Scribe via a public media URL

delete_job

This is an irreversible destructive action. Requires the Job ID. Permanently delete a transcription task and its associated data from the 3Scribe account

get_job

You must provide the Job ID. Check the status and retrieve the generated text of a specific 3Scribe transcription job

list_jobs

Retrieve a paginated list of all transcription tasks from the 3Scribe account

Example Prompts for 3Scribe in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with 3Scribe immediately.

"Transcribe the audio from this URL: https://example.com/podcast.mp3"

"What is the status of my transcription job 54321?"

"Delete my old transcription job with ID 99999."

Troubleshooting 3Scribe MCP Server with LangChain

Common issues when connecting 3Scribe to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

3Scribe + LangChain FAQ

Common questions about integrating 3Scribe MCP Server with LangChain.

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.

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.