How to Use the Cyberimpact MCP in LlamaIndex

Index your live marketing metrics from Cyberimpact into LlamaIndex for grounded, accurate RAG responses.

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Connect Cyberimpact MCP to LlamaIndex

Create your Vinkius account to connect Cyberimpact to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cyberimpact with LlamaIndex

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Claude

Perplexity

Create a searchable knowledge base for LlamaIndex

Convert `get_campaign_details` outputs into vector embeddings for your LlamaIndex storage. Your agent stops hallucinating about performance and starts answering queries based on the actual click and bounce rates from your account. This approach grounds your LLM in verifiable historical data. You query your marketing history as easily as you query local documents.

Query subscriber history through the MCP Server

Use `get_subscriber_details` to pull interaction logs into your index. Your agents now possess deep context on user engagement, allowing for highly personalized responses during analysis. LlamaIndex treats these API results as primary knowledge. You define the retrieval strategy to prioritize specific campaign data or recent subscriber activity.

Automate template discovery for LlamaIndex

Index your available email layouts using `list_message_templates`. Your agents identify the right assets for new marketing content without scanning local files. This indexing process updates automatically as you modify content in your account. You maintain a living map of your marketing assets within your agent's memory.

Setup guide

Set up Cyberimpact MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Cyberimpact MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Cyberimpact tools.",
)
response = await agent.run("List recent Cyberimpact data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cyberimpact. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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place for every integration

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Common questions about Cyberimpact MCP in LlamaIndex

The MCP Server retrieves raw data which LlamaIndex then converts into vector embeddings. This allows your agent to retrieve specific marketing details using semantic search rather than exact keyword matches.

You can. By indexing your campaign metrics, your agent generates performance summaries based on current data. Simply define your query engine and let the agent pull the relevant statistics.

Your subscriber profiles and interaction histories are processed only through encrypted channels. The V8 sandbox ensures that your sensitive account information never leaks to external models during the indexing phase.

You control the sync frequency within your code. You can trigger a re-index whenever your agent needs the freshest data from the Cyberimpact API.

The server restricts access to your subscriber email addresses and campaign performance metrics. These data types stay within the authenticated boundaries of your Vinkius-managed environment.

Use it with your favorite AI tools

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