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 CrewAI 8 tools — connect in under 2 minutes

Name: Castmagic
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Castmagic through Vinkius, pass the Edge URL in the `mcps` parameter and every Castmagic tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Castmagic Specialist",
    goal="Help users interact with Castmagic effectively",
    backstory=(
        "You are an expert at leveraging Castmagic tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Castmagic "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Castmagic becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Castmagic tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Castmagic MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Castmagic

Why Use CrewAI with the Castmagic MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Castmagic through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Castmagic + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Castmagic for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Castmagic, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Castmagic tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Castmagic against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Castmagic MCP Tools for CrewAI (8)

These 8 tools become available when you connect Castmagic to CrewAI 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 CrewAI

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Castmagic + CrewAI FAQ

Common questions about integrating Castmagic MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.