Cyberimpact MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cyberimpact through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cyberimpact": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Cyberimpact, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Cyberimpact MCP Server
Integrate Cyberimpact, the Canadian email marketing platform, directly into your AI workflow. Manage your subscriber lists, monitor campaign performance, and track marketing automations using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Cyberimpact through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Subscriber Management — List, search, and retrieve profiles for your email subscribers.
- Campaign Monitoring — Track sent and scheduled email campaigns and their engagement metrics.
- Automated Workflows — Monitor active marketing automations and message templates.
- Group Oversight — Manage mailing lists and subscriber segments effectively via chat.
The Cyberimpact MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Cyberimpact to LangChain via MCP
Follow these steps to integrate the Cyberimpact MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Cyberimpact via MCP
Why Use LangChain with the Cyberimpact MCP Server
LangChain provides unique advantages when paired with Cyberimpact through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cyberimpact MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cyberimpact queries for multi-turn workflows
Cyberimpact + LangChain Use Cases
Practical scenarios where LangChain combined with the Cyberimpact MCP Server delivers measurable value.
RAG with live data: combine Cyberimpact tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cyberimpact, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cyberimpact tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cyberimpact tool call, measure latency, and optimize your agent's performance
Cyberimpact MCP Tools for LangChain (10)
These 10 tools become available when you connect Cyberimpact to LangChain via MCP:
add_subscriber
Resolves the newly created subscriber ID. Mutates the subscriber database state. Add a new subscriber to a specific group
get_account_details
Resolves account identifiers and usage metrics. Interacts with the account and billing boundary. Retrieve metadata and limits for your Cyberimpact account
get_campaign_details
Resolves open rates, click rates, and bounce metrics. Interacts with the messaging analytics boundary. Get performance metrics and settings for a specific campaign
get_subscriber_details
Resolves custom fields, interaction history, and group memberships. Touches the granular subscriber profile boundary. Get full profile and history for a specific subscriber
list_email_campaigns
Resolves campaign IDs, titles, and delivery statuses. Touches the campaign management and messaging boundary. List all sent and scheduled email campaigns
list_marketing_automations
Resolves automation IDs and operational statuses. Interacts with the workflow automation engine. List active automated marketing workflows
list_message_templates
Resolves template identifiers and names. Touches the content management boundary. List available email and automation templates
list_subscriber_groups
Resolves group IDs, names, and member counts. Interacts with the audience segmentation boundary. List all mailing lists and groups
list_subscribers
Resolves subscriber IDs, email addresses, and subscription statuses. Interacts with the subscriber database boundary. List all email subscribers in Cyberimpact
search_subscribers_by_email
Resolves matching subscriber profiles. Touches the search and discovery boundary. Search for a subscriber profile by email keyword
Example Prompts for Cyberimpact in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cyberimpact immediately.
"List all my email subscriber groups."
"Show me the performance metrics for my last sent campaign."
"Search for subscriber 'user@example.com'."
Troubleshooting Cyberimpact MCP Server with LangChain
Common issues when connecting Cyberimpact to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCyberimpact + LangChain FAQ
Common questions about integrating Cyberimpact MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Cyberimpact with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cyberimpact to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.