How to Use the 3Scribe MCP in LangChain

Q: How do I list my 3Scribe tasks in LangChain?

Call the listjobs tool within your chain to get a paginated summary of your account history. It helps you keep tabs on pending work.

Push audio and video files directly into your LangChain chains for automated transcription.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect 3Scribe MCP to LangChain

Create your Vinkius account to connect 3Scribe to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup 3Scribe with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Start transcription jobs with LangChain

Feed a public URL into `create_job` to kick off a task. Your agent handles the trigger while the server processes the media. This MCP Server keeps your pipeline moving by returning a Job ID immediately. You track the progress without blocking your main execution flow.

Pull text into your LangChain agent

Use `get_job` to grab the finished transcript once your agent confirms the task is done. The output feeds directly into your next chain step. It keeps data flowing through your logic without manual intervention. You get clean text ready for your reasoning models.

Clean up your 3Scribe history

Manage your storage by calling `delete_job` when you no longer need the files. It wipes the record and the associated media data permanently. Automate this step within your LangChain workflow to avoid cluttering your account. You maintain control over your data footprint through code.

Setup guide

Set up 3Scribe MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes 3Scribe tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "3scribe-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent 3Scribe transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 3Scribe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect 3Scribe now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about 3Scribe MCP in LangChain

Install the necessary adapters and initialize the server using the provided endpoint. You then pass the tools directly into your agent constructor to start making calls.

Yes, your agent can loop through a list of URLs and call the server for each one. You keep track of them using the returned Job IDs.

The server is stateless, but you can store Job IDs in your agent's session memory. This lets you poll for results across multiple turns.

Call the `list_jobs` tool within your chain to get a paginated summary of your account history. It helps you keep tabs on pending work.

Your media files are only accessed via the URLs you provide to the server. We enforce strict isolation so your transcription data remains private to your account.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript