Castmagic MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Castmagic as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Castmagic. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Castmagic?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Castmagic tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Castmagic MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Castmagic
Why Use LlamaIndex with the Castmagic MCP Server
LlamaIndex provides unique advantages when paired with Castmagic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Castmagic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Castmagic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Castmagic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Castmagic tools were called, what data was returned, and how it influenced the final answer
Castmagic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Castmagic MCP Server delivers measurable value.
Hybrid search: combine Castmagic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Castmagic to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Castmagic for fresh data
Analytical workflows: chain Castmagic queries with LlamaIndex's data connectors to build multi-source analytical reports
Castmagic MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Castmagic to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Castmagic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCastmagic + LlamaIndex FAQ
Common questions about integrating Castmagic MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Castmagic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Castmagic to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.