AssemblyAI MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Delete Transcript, Get Chapters, Get Sentiments, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AssemblyAI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The AssemblyAI app connector for LlamaIndex is a standout in the Ai Frontier category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 AssemblyAI. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in AssemblyAI?"
)
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 AssemblyAI MCP Server
Connect your AssemblyAI account to any AI agent and take full control of your high-fidelity audio transcription and speech intelligence workflows through natural conversation.
LlamaIndex agents combine AssemblyAI tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Speech-to-Text Orchestration — Programmatically transcribe public audio or video URLs using state-of-the-art MARS models with superhuman accuracy
- Audio Intelligence — Extract high-fidelity insights including automated summaries, sentiment analysis, and topic detection directly through your agent
- Speaker Diarization Architecture — Retrieve detailed utterances separated by speaker labels to coordinate meeting minutes and interview transcripts perfectly
- Content Discovery — Access automated chapters and high-fidelity video recaps to maintain a perfectly coordinated media library
- Lifecycle Management — Monitor transcription job status and manage your directory of recent transcripts directly through your agent for instant reporting
The AssemblyAI MCP Server exposes 9 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.
All 9 AssemblyAI tools available for LlamaIndex
When LlamaIndex connects to AssemblyAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-intelligence, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete a transcript
Get auto-chapters
Get sentiment analysis
Get speaker labels
Get auto-summary
Get topic detection
Get transcript status/result
List recent transcripts
Transcribe audio URL
Connect AssemblyAI to LlamaIndex via MCP
Follow these steps to wire AssemblyAI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the AssemblyAI MCP Server
LlamaIndex provides unique advantages when paired with AssemblyAI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AssemblyAI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AssemblyAI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AssemblyAI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AssemblyAI tools were called, what data was returned, and how it influenced the final answer
AssemblyAI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AssemblyAI MCP Server delivers measurable value.
Hybrid search: combine AssemblyAI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AssemblyAI 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 AssemblyAI for fresh data
Analytical workflows: chain AssemblyAI queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AssemblyAI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AssemblyAI immediately.
"Transcribe this podcast URL: 'https://example.com/audio.mp3' and enable speaker diarization."
"Show my 5 most recent transcription jobs."
"Get the sentiment analysis for transcript 'tr_123'."
Troubleshooting AssemblyAI MCP Server with LlamaIndex
Common issues when connecting AssemblyAI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAssemblyAI + LlamaIndex FAQ
Common questions about integrating AssemblyAI MCP Server with LlamaIndex.