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Cyberimpact MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Member To Group, Create Group, Create Mailing, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cyberimpact 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 Cyberimpact app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Cyberimpact. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cyberimpact?"
    )
    print(response)

asyncio.run(main())
Cyberimpact
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cyberimpact MCP Server

The Cyberimpact MCP server allows your AI agent to manage members, groups, and mailings. Create campaigns, add subscribers, and track results directly from your chat.

LlamaIndex agents combine Cyberimpact tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.

The Cyberimpact MCP Server exposes 12 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 12 Cyberimpact tools available for LlamaIndex

When LlamaIndex connects to Cyberimpact through Vinkius, your AI agent gets direct access to every tool listed below — spanning cyberimpact, email, marketing, 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.

add_member_to_group

Add an existing member to a group

create_group

Create a new group

create_mailing

Create a new mailing

create_member

Create a new member (contact)

delete_member

Delete a member from the account

get_me

Check API connectivity and get account context

list_groups

List all groups

list_mailings

List all mailings (campaigns)

list_members

List all members (contacts)

list_templates

List all available templates

retrieve_member

Get details of a specific member

unsubscribe_member

Unsubscribe a member from all mailings

Connect Cyberimpact to LlamaIndex via MCP

Follow these steps to wire Cyberimpact into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Cyberimpact

Why Use LlamaIndex with the Cyberimpact MCP Server

LlamaIndex provides unique advantages when paired with Cyberimpact through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Cyberimpact tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Cyberimpact tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Cyberimpact, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Cyberimpact tools were called, what data was returned, and how it influenced the final answer

Cyberimpact + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Cyberimpact MCP Server delivers measurable value.

01

Hybrid search: combine Cyberimpact real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Cyberimpact to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cyberimpact for fresh data

04

Analytical workflows: chain Cyberimpact queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Cyberimpact in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Cyberimpact immediately.

01

"List all members in my Cyberimpact account."

02

"Create a new group called 'April Newsletter'."

03

"Unsubscribe member 'MEMBER_ID' from all mailings."

Troubleshooting Cyberimpact MCP Server with LlamaIndex

Common issues when connecting Cyberimpact to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cyberimpact + LlamaIndex FAQ

Common questions about integrating Cyberimpact MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Cyberimpact tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.