PushEngage MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Check Pushengage Status, List Pushengage Notifications, List Pushengage Segments, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PushEngage 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 PushEngage app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 7 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 PushEngage. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in PushEngage?"
)
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 PushEngage MCP Server
Connect your PushEngage account to any AI agent and take full control of your web push notification ecosystem and high-fidelity outreach orchestration through natural conversation.
LlamaIndex agents combine PushEngage tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Notification Portfolio Orchestration — List all push notifications and broadcasts, retrieve detailed high-fidelity status metadata, and monitor campaign performance programmatically
- Subscriber Intelligence Architecture — Access complete high-fidelity subscriber profiles and activity history to understand your audience directly through your agent
- Broadcast Orchestration — Programmatically trigger new high-fidelity push broadcasts to specific segments for perfectly coordinated audience engagement
- Segment Analysis — Access your complete directory of high-fidelity subscriber segments to optimize your targeting strategy and campaign relevance
- Automation Discovery — Access high-fidelity automation workflows and trigger settings to understand and orchestrate your outreach pipelines
- Operational Monitoring — Verify account-level API connectivity and monitor notification volume directly through your agent for perfectly coordinated service scaling
The PushEngage MCP Server exposes 7 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 7 PushEngage tools available for LlamaIndex
When LlamaIndex connects to PushEngage through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-push, browser-notifications, subscriber-segmentation, 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.
Check API Status
List push notifications
List subscriber segments
List registered sites
List push subscribers
List automation triggers
Trigger push broadcast
Connect PushEngage to LlamaIndex via MCP
Follow these steps to wire PushEngage 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 PushEngage MCP Server
LlamaIndex provides unique advantages when paired with PushEngage through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PushEngage tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PushEngage tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PushEngage, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PushEngage tools were called, what data was returned, and how it influenced the final answer
PushEngage + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PushEngage MCP Server delivers measurable value.
Hybrid search: combine PushEngage real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PushEngage 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 PushEngage for fresh data
Analytical workflows: chain PushEngage queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for PushEngage in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with PushEngage immediately.
"List all active push segments and show their subscriber count."
"Show the last 5 broadcasts and their click rates."
"Check the available automation triggers for my site."
Troubleshooting PushEngage MCP Server with LlamaIndex
Common issues when connecting PushEngage to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPushEngage + LlamaIndex FAQ
Common questions about integrating PushEngage MCP Server with LlamaIndex.