How do I get a Denim API Key?

Log in to your Denim account, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from that section.

Can the agent send new campaigns?

This integration currently focuses on monitoring existing campaigns, segments, and analytics. Creating or launching new campaigns should be handled via the Denim dashboard.

Does the integration show real-time engagement?

Yes, you can use the get_campaign_analytics tool to retrieve the latest reported engagement metrics for any of your active campaigns.

Denim MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Denim
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Denim through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "denim": {
            "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 Denim, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Denim MCP Server

Integrate Denim, the specialized marketing automation platform for financial services, directly into your AI workflow. Manage your multi-channel marketing campaigns, track subscriber profiles and segments, and monitor real-time performance analytics using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Denim 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 settings and performance metrics for all your marketing campaigns.
Contact Management — Access subscriber profiles, behavioral metadata, and opt-in statuses in your core contact database.
Automation Monitoring — Track active automated workflows and drip sequences to ensure consistent customer engagement.
Audience Segments — List and explore configured audience groups based on structural definitions and filtering criteria.

The Denim 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 Denim to LangChain via MCP

Follow these steps to integrate the Denim 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 Denim via MCP

Why Use LangChain with the Denim MCP Server

LangChain provides unique advantages when paired with Denim through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Denim 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 Denim queries for multi-turn workflows

Denim + LangChain Use Cases

Practical scenarios where LangChain combined with the Denim MCP Server delivers measurable value.

RAG with live data: combine Denim tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Denim, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Denim tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Denim tool call, measure latency, and optimize your agent's performance

Denim MCP Tools for LangChain (10)

These 10 tools become available when you connect Denim to LangChain via MCP:

add_new_contact

Add a new contact to your Denim database

get_account_metadata

Retrieve settings and limits for your Denim account

get_campaign_analytics

Retrieve performance metrics for a specific campaign

get_campaign_details

Get detailed settings for a specific campaign

list_active_automations

List active automated marketing workflows

list_audience_segments

List configured audience segments for targeting

list_crm_contacts

List all contacts and leads in the system

list_email_templates

List all available marketing templates

list_marketing_campaigns

List all marketing campaigns in your Denim account

search_active_campaigns

Search for running campaigns by keyword

Example Prompts for Denim in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Denim immediately.

"List all active marketing campaigns."

"Show me the engagement stats for the 'Summer Savings' campaign."

"Find contact profile for 'user@example.com'."

Troubleshooting Denim MCP Server with LangChain

Common issues when connecting Denim to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Denim + LangChain FAQ

Common questions about integrating Denim MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.