How to Use the Envoke Marketing MCP in LlamaIndex

Q: Can LlamaIndex query Envoke Marketing contact lists semantically?

Yes. Your agent can call listcontactaddresslists to fetch your lists, index the list names and descriptions, and then perform semantic search to find the most relevant audience segment for a new campaign.

Q: Can I use LlamaIndex to filter contacts based on their profile data?

Yes. The agent can retrieve a profile using getcontactprofile and load it into local memory. LlamaIndex then uses its query engine to parse the profile fields and determine if the contact matches your specific filtering criteria.

Index live Envoke campaign stats and contact profiles into LlamaIndex to query your marketing data with zero hallucinations.

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Connect Envoke Marketing MCP to LlamaIndex

Create your Vinkius account to connect Envoke Marketing 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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Setup Envoke Marketing with LlamaIndex

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Index raw Envoke campaign stats in LlamaIndex

Your LlamaIndex agent fetches live performance data by calling `get_campaign_performance_stats` and indexing it directly into your vector store. The agent retrieves open rates, clicks, and bounces, turning raw API payloads into searchable document nodes. You query your past performance using semantic search. The agent calls `list_successfully_sent_campaigns` to build a historical timeline of what went out. This prevents the agent from hallucinating past campaign metrics, because every answer is grounded in actual, indexed Envoke data.

Build a searchable contact index with this MCP Server

This MCP Server lets you turn your contact directory into a queryable knowledge base using `search_contacts_by_email` to find specific users. The agent pulls their entire history with `get_contact_profile` and indexes these profiles to let you ask complex questions about user behavior. Instead of searching through a database manually, ask your agent which users have been highly active. The agent queries the index containing the `get_contact_profile` outputs and summarizes the trends.

Ground marketing queries in account metadata

Your LlamaIndex agent calls `get_envoke_account_metadata` to retrieve your actual account boundaries and keep your RAG applications informed. This prevents your agent from attempting tasks that exceed your active subscription tier. By combining this with `quick_marketing_volume_audit`, the agent maintains a fresh, indexed summary of your total list sizes. When you ask if you have room for a new campaign, LlamaIndex checks the indexed audit data to give you an accurate, data-backed answer.

Setup guide

Set up Envoke Marketing MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Envoke Marketing MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 Envoke Marketing tools.",
)
response = await agent.run("List recent Envoke Marketing data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Envoke Marketing. 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 Envoke Marketing MCP in LlamaIndex

You load the tools using the LlamaIndex MCP tool spec and pass them to your agent. The agent can execute `list_email_campaigns` to retrieve the data, which is then parsed into document nodes and stored in your vector index for retrieval.

Yes. Your agent can call `list_contact_address_lists` to fetch your lists, index the list names and descriptions, and then perform semantic search to find the most relevant audience segment for a new campaign.

By grounding queries in live API outputs. When you ask about performance, the agent calls `get_campaign_performance_stats` first, indexes the response, and uses that exact text to answer your question, ensuring no fake metrics are generated.

Yes. The agent can retrieve a profile using `get_contact_profile` and load it into local memory. LlamaIndex then uses its query engine to parse the profile fields and determine if the contact matches your specific filtering criteria.

Vinkius manages the secure connection to the Envoke API, meaning your credentials never enter your vector store. Only the raw text output from `get_campaign_performance_stats` is indexed, and you can configure your vector database to encrypt this data at rest.

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