CaptionHub 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 CaptionHub 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 MCP SERVER
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 CaptionHub. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in CaptionHub?"
)
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 CaptionHub MCP Server
Connect your CaptionHub account to any AI agent and orchestrate your video localization, AI-powered transcription, and subtitle approval workflows through natural conversation.
LlamaIndex agents combine CaptionHub 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
- Project Oversight — List all localization projects and retrieve detailed metadata, including source and target languages.
- Automated Transcription — Trigger AI-powered auto-transcription for your video assets directly from your workspace.
- Caption Lifecycle — Handover, approve, or archive caption sets for specific languages using natural language.
- Export Coordination — Retrieve export links for finished captions in various formats straight from your workspace.
- Workflow Automation — Monitor active webhooks and project statuses to ensure your localization pipeline is efficient.
- Data Deep Dives — Get detailed data for specific project, caption, or user IDs using natural language.
The CaptionHub 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 CaptionHub to LlamaIndex via MCP
Follow these steps to integrate the CaptionHub 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 CaptionHub
Why Use LlamaIndex with the CaptionHub MCP Server
LlamaIndex provides unique advantages when paired with CaptionHub through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CaptionHub tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CaptionHub tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CaptionHub, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CaptionHub tools were called, what data was returned, and how it influenced the final answer
CaptionHub + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CaptionHub MCP Server delivers measurable value.
Hybrid search: combine CaptionHub real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CaptionHub 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 CaptionHub for fresh data
Analytical workflows: chain CaptionHub queries with LlamaIndex's data connectors to build multi-source analytical reports
CaptionHub MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect CaptionHub to LlamaIndex via MCP:
approve_captions
Approve a caption set for a specific language
archive_project
Archive a project permanently
create_project
Create a new captioning project
export_captions
Get the export URL for a caption set
get_account_info
Retrieve core account information
get_project_details
Get details of a specific project
list_projects
List all video captioning projects
list_webhooks
List all active webhooks
transcribe_video
Trigger AI auto-transcription for a project
update_project
Update project metadata
Example Prompts for CaptionHub in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CaptionHub immediately.
"List all my current video projects in CaptionHub."
"Start auto-transcription for the 'Product Keynote' project."
"Get the French subtitle export link for project proj_123."
Troubleshooting CaptionHub MCP Server with LlamaIndex
Common issues when connecting CaptionHub to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCaptionHub + LlamaIndex FAQ
Common questions about integrating CaptionHub 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 CaptionHub 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 CaptionHub to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.