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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Denim
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Denim through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Denim "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Denim?"
    )
    print(result.data)

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.

Pydantic AI validates every Denim tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Denim MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Denim with type-safe schemas

Why Use Pydantic AI with the Denim MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Denim integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Denim connection logic from agent behavior for testable, maintainable code

Denim + Pydantic AI Use Cases

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

Type-safe data pipelines: query Denim with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Denim tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Denim and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Denim responses and write comprehensive agent tests

Denim MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Denim to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Denim + Pydantic AI FAQ

Common questions about integrating Denim MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Denim MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.