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How to Use the Cyberimpact MCP in LlamaIndex

Index your Cyberimpact data into LlamaIndex using this MCP Server for semantic search and RAG applications.

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LlamaIndex

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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Index Subscriber Data into Vector Stores

The `list_members` and `retrieve_member` tools let your LlamaIndex agent pull contact records directly into your knowledge base. Instead of just viewing a static list, you convert subscriber profiles into searchable document nodes. Querying your RAG application then returns answers grounded in real audience data. You ask the agent for patterns in your top subscribers, and it searches the indexed API responses to find the exact correlation.

Query Campaign History via LlamaIndex MCP Server

Extracting past newsletters using `list_mailings` builds a historical archive of your marketing efforts. The agent takes the raw JSON payload and embeds the text content alongside performance metrics. Marketers then ask the engine which subject lines performed best last quarter. The system pulls the exact campaign text from the vector store rather than guessing based on general training data.

Ground Audience Segmentation in Reality

Mapping your audience structure happens by indexing the output of `list_groups` and `list_templates`. Your agent understands exactly which segments exist before it recommends new content strategies. When the system decides to act, it calls `create_group` or `add_member_to_group` with complete awareness of the current hierarchy. This prevents duplicate lists and keeps your account organized.

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. 1

    Install dependencies

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

  2. 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. 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. 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")

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.

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Common questions about Cyberimpact MCP in LlamaIndex

Install llama-index-tools-mcp and instantiate BasicMCPClient. Wrap it with McpToolSpec and call the async tool list method to feed your FunctionAgent.
Running the list_groups tool returns all segment data. The framework then embeds this information so you can query group names and member counts semantically.
You can use any vector store LlamaIndex supports. The tools just fetch the raw campaign data using list_mailings for the framework to ingest.
The allowed_tools filter lets you limit access. You might expose list_templates for reading while blocking write operations like create_mailing to prevent accidental sends.
The tools transmit raw contact profiles and group assignments. Vinkius executes these requests in a zero-trust environment using a single endpoint token, making sure no persistent access remains after the query completes.

Start using the Cyberimpact MCP today

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