Can I generate social media posts from a podcast link?

Yes! Use the `create_new_transcript` tool with your podcast audio URL, then use `get_magic_content` once processing is finished to retrieve AI-generated social posts.

How do I check if my transcription is ready?

Use the `list_transcripts` tool. Your agent will return a list of all jobs and their current status (e.g., Processing, Finished).

Which languages does Castmagic support?

Castmagic supports over 18 languages including English, Spanish, French, German, and Portuguese. You can specify the language when creating a new transcript.

Castmagic MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Castmagic
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Castmagic 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({
        "castmagic": {
            "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 Castmagic, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Castmagic MCP Server

Connect your Castmagic account to any AI agent and take full control of your content repurposing workflow through natural conversation. Transform long-form audio and video into ready-to-use assets instantly.

LangChain's ecosystem of 500+ components combines seamlessly with Castmagic through native MCP adapters. Connect 8 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

Instant Transcription — Submit audio/video URLs and retrieve high-accuracy transcripts with speaker identification natively
Magic Content Generation — Generate AI-driven show notes, summaries, social media posts, and titles flawlessly
Speaker Analysis — List and manage identified speakers within your recordings to refine transcript metadata securely
Asset Management — List all uploaded recordings and transcripts to organize your content library in real-time
Quota Oversight — Retrieve account and subscription information to monitor your usage and limits directly
Automated Workflows — Submit new content for processing and delete old transcripts directly within your workspace

The Castmagic MCP Server exposes 8 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 Castmagic to LangChain via MCP

Follow these steps to integrate the Castmagic 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 8 tools from Castmagic via MCP

Why Use LangChain with the Castmagic MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Castmagic 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 Castmagic queries for multi-turn workflows

Castmagic + LangChain Use Cases

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

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

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

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

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

Castmagic MCP Tools for LangChain (8)

These 8 tools become available when you connect Castmagic to LangChain via MCP:

create_new_transcript

Submit a new audio or video URL for transcription

delete_transcript

Delete a transcript and its associated data

get_castmagic_account

Retrieve core account and quota information

get_magic_content

Retrieve AI-generated content (show notes, social posts) for a transcript

get_transcript_details

Get details and text for a specific transcript

list_castmagic_recordings

List all uploaded recordings

list_transcript_speakers

List identified speakers in a transcript

list_transcripts

List all audio/video transcripts

Example Prompts for Castmagic in LangChain

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

"Transcribe this audio file: https://example.com/episode1.mp3"

"Get the magic content for transcript ID tr_12345."

"Show me my last 10 recordings in Castmagic."

Troubleshooting Castmagic MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Castmagic + LangChain FAQ

Common questions about integrating Castmagic 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.