zipperHQ MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Zipper Status, Get Account, Get Contact Views, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add zipperHQ 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 zipperHQ app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 10 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 zipperHQ. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in zipperHQ?"
)
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 zipperHQ MCP Server
Connect your zipperHQ account to any AI agent and take full control of your video email orchestration and automated personalized messaging through natural conversation.
LlamaIndex agents combine zipperHQ 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
- Video Portfolio Orchestration — List and manage your entire high-fidelity portfolio of video emails programmatically, retrieving detailed technical metadata and SKU IDs
- Recording & Status Intelligence — Programmatically monitor real-time recording statuses (Pending, Uploaded, Ready) to maintain a perfectly coordinated content pipeline
- Engagement Monitoring — Access real-time status updates for video views (e.g., 'Last Viewed') and track individual recipient interaction directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity video durations and session IDs to maintain a perfectly coordinated media record
- Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling
The zipperHQ 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.
All 10 zipperHQ tools available for LlamaIndex
When LlamaIndex connects to zipperHQ through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-email, personalized-messaging, engagement-tracking, 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.
Verify ZipperHQ API connectivity
Get your ZipperHQ account info
Get video views for a specific contact
Get the 10 most recent videos
Get details of a specific video
Get analytics for a specific video
List all video recipients
List all screen recordings
List all video emails
Search videos by keyword
Connect zipperHQ to LlamaIndex via MCP
Follow these steps to wire zipperHQ 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 zipperHQ MCP Server
LlamaIndex provides unique advantages when paired with zipperHQ through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine zipperHQ tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain zipperHQ tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query zipperHQ, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what zipperHQ tools were called, what data was returned, and how it influenced the final answer
zipperHQ + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the zipperHQ MCP Server delivers measurable value.
Hybrid search: combine zipperHQ real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query zipperHQ 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 zipperHQ for fresh data
Analytical workflows: chain zipperHQ queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for zipperHQ in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with zipperHQ immediately.
"List all video emails sent today in my zipperHQ account."
"Show the view duration for the last video sent to 'Acme Corp'."
"Check for any video emails with 'Pending' recording status."
Troubleshooting zipperHQ MCP Server with LlamaIndex
Common issues when connecting zipperHQ to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpzipperHQ + LlamaIndex FAQ
Common questions about integrating zipperHQ MCP Server with LlamaIndex.