Envoke Marketing MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Envoke Marketing 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({
"envoke-marketing": {
"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 Envoke Marketing, 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 Envoke Marketing MCP Server
Integrate Envoke, the powerful and intuitive email marketing and communication platform, directly into your AI workflow. Manage your email campaigns and contact lists, track individual subscriber profiles and interaction history, monitor real-time performance statistics, and oversee your automated marketing operations using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Envoke Marketing 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
- Campaign Oversight — List and retrieve detailed information, subject lines, and current statuses for all your email marketing campaigns.
- Contact Intelligence — Monitor contact address lists and individual profile details, resolving subscription statuses and custom field values.
- Performance Monitoring — Access real-time campaign telemetry, resolving sent, open, and click-through counts via chat.
- Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and organizational account health instantly.
The Envoke Marketing 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 Envoke Marketing to LangChain via MCP
Follow these steps to integrate the Envoke Marketing 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 Envoke Marketing via MCP
Why Use LangChain with the Envoke Marketing MCP Server
LangChain provides unique advantages when paired with Envoke Marketing through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Envoke Marketing 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 Envoke Marketing queries for multi-turn workflows
Envoke Marketing + LangChain Use Cases
Practical scenarios where LangChain combined with the Envoke Marketing MCP Server delivers measurable value.
RAG with live data: combine Envoke Marketing tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Envoke Marketing, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Envoke Marketing tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Envoke Marketing tool call, measure latency, and optimize your agent's performance
Envoke Marketing MCP Tools for LangChain (10)
These 10 tools become available when you connect Envoke Marketing to LangChain via MCP:
get_campaign_details
Get detailed settings and status for a specific email campaign
get_campaign_performance_stats
Get performance statistics for a specific email campaign
get_contact_profile
Get full profile and history for a specific contact
get_envoke_account_metadata
Retrieve metadata and limits for your Envoke account
list_contact_address_lists
List all contact lists configured in your account
list_email_campaigns
List all email marketing campaigns in your Envoke account
list_marketing_contacts
List all contacts registered in your organization
list_successfully_sent_campaigns
Identify campaigns that have already been sent to subscribers
quick_marketing_volume_audit
Retrieve a high-level summary of campaign activity and list counts
search_contacts_by_email
Search for a contact using their email address
Example Prompts for Envoke Marketing in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Envoke Marketing immediately.
"List all active marketing campaigns."
"Show me the performance for campaign ID 12345."
"Search for contact 'alex@example.com'."
Troubleshooting Envoke Marketing MCP Server with LangChain
Common issues when connecting Envoke Marketing to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEnvoke Marketing + LangChain FAQ
Common questions about integrating Envoke Marketing 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 Envoke Marketing 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 Envoke Marketing to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
