Denim MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Denim 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Denim. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Denim?"
)
print(response)
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 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.
LlamaIndex agents combine Denim tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Denim MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Denim MCP Server
LlamaIndex provides unique advantages when paired with Denim through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Denim tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Denim tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Denim, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Denim tools were called, what data was returned, and how it influenced the final answer
Denim + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Denim MCP Server delivers measurable value.
Hybrid search: combine Denim real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Denim to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Denim for fresh data
Analytical workflows: chain Denim queries with LlamaIndex's data connectors to build multi-source analytical reports
Denim MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Denim to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Denim to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDenim + LlamaIndex FAQ
Common questions about integrating Denim MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Denim 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 Denim to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
