Ebby MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ebby 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 Ebby. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ebby?"
)
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 Ebby MCP Server
Integrate Ebby, the powerful automatic transcription and subtitling platform, directly into your AI workflow. Manage your audio and video transcriptions, track real-time processing statuses and durations, retrieve transcribed text in various formats (TXT, SRT, VTT), and oversee speaker identification using natural language.
LlamaIndex agents combine Ebby tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Transcription Oversight — List and retrieve detailed information and status for all your audio and video transcription projects.
- Content Intelligence — Access the actual transcribed text content and identified speaker labels directly via chat.
- Processing Monitoring — Track real-time processing progress, file durations, and language settings for your media library.
- Account Auditing — Retrieve high-level summaries of transcription activity, remaining minutes, and organizational metadata instantly.
The Ebby MCP Server exposes 10 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 Ebby to LlamaIndex via MCP
Follow these steps to integrate the Ebby 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 10 tools from Ebby
Why Use LlamaIndex with the Ebby MCP Server
LlamaIndex provides unique advantages when paired with Ebby through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ebby tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ebby tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ebby, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ebby tools were called, what data was returned, and how it influenced the final answer
Ebby + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ebby MCP Server delivers measurable value.
Hybrid search: combine Ebby real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ebby 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 Ebby for fresh data
Analytical workflows: chain Ebby queries with LlamaIndex's data connectors to build multi-source analytical reports
Ebby MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ebby to LlamaIndex via MCP:
get_ebby_account_metadata
Retrieve metadata and usage limits for your Ebby account
get_transcription_details
Get detailed settings and status for a specific transcription
get_transcription_text
Retrieve the transcribed text content for a specific file
list_audio_transcriptions
List all transcriptions created in your Ebby account
list_in_progress_transcriptions
Identify transcriptions that are currently in the processing queue
list_latest_transcriptions
Identify the most recently created or updated transcriptions
list_successfully_processed_audio
Identify transcriptions that have finished processing and are ready for export
list_transcription_speakers
List all speakers identified in a specific transcription
quick_transcription_volume_audit
Retrieve a high-level summary of transcription activity and processing rates
search_transcriptions_by_name
Search for transcriptions using a filename or title keyword
Example Prompts for Ebby in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ebby immediately.
"List all completed transcriptions."
"Show me the transcribed text for 'Interview_John_Doe.mp3' in SRT format."
"Check how many minutes are remaining in my Ebby account."
Troubleshooting Ebby MCP Server with LlamaIndex
Common issues when connecting Ebby to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEbby + LlamaIndex FAQ
Common questions about integrating Ebby 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 Ebby with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Ebby to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.