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How to Use the Denim MCP in LlamaIndex

Index live Denim campaign metrics and contacts directly into your LlamaIndex RAG pipelines.

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LlamaIndex

Connect Denim MCP to LlamaIndex

Create your Vinkius account to connect Denim to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index Denim campaign data for semantic search

The Denim MCP Server exposes campaign data that LlamaIndex indexes directly into your vector store for semantic search. When your agent calls `get_campaign_details` or `list_marketing_campaigns`, the output goes straight into your vector store. This means you can query your past marketing performance semantically. Your agent searches through old campaign configurations to find what worked, grounding its answers in actual Denim data instead of hallucinating.

Query audience segments using LlamaIndex RAG

This Denim integration lets LlamaIndex query your audience segments and turn raw JSON into searchable documents. Your LlamaIndex agent uses `list_audience_segments` to retrieve your current marketing groups, turning that raw JSON into queryable documents. You can ask the agent complex questions about who you are targeting. It cross-references the retrieved segments with active leads from `list_crm_contacts` to find gaps in your outreach strategy.

Ground marketing decisions in Denim MCP Server metrics

The Denim MCP Server feeds live performance metrics directly into your LlamaIndex RAG pipelines. The agent calls `get_campaign_analytics` to pull open rates and conversions, then indexes those metrics to inform future copy generation. If a campaign is underperforming, the agent detects it through the indexed data. It then pulls fresh assets using `list_email_templates` to suggest highly relevant, data-backed alternatives.

Setup guide

Set up Denim MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Denim MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Denim tools.",
)
response = await agent.run("List recent Denim data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Denim. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Denim MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the BasicMCPClient with your Denim endpoint. Wrap it in McpToolSpec and call to_tool_list_async() to expose tools like `list_marketing_campaigns` to your agent.
Yes, by calling `list_crm_contacts` your agent can load your lead database into a local index. This allows LlamaIndex to perform semantic searches over your contact list to find specific user profiles.
Instead of dumping all campaign details into the prompt, LlamaIndex indexes the output of `get_campaign_details`. It only retrieves the most relevant chunks of Denim data for the current query, saving you token costs.
Yes, you can use the allowed tools filter when setting up the client. If you only want your agent to view performance, expose `get_campaign_analytics` and block write tools like `add_new_contact`.
Completely. Your contact data, retrieved via `list_crm_contacts`, is indexed locally or in your designated secure vector database. Vinkius executes the Denim MCP Server in a zero-trust sandbox, ensuring no raw lead information is exposed to external networks.

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