How to Use the Customer.io MCP in LlamaIndex

Q: How do I configure LlamaIndex for Customer.io?

Install llama-index-tools-mcp and set up a BasicMCPClient. Wrap it in an McpToolSpec and call totoollistasync() to pass the marketing tools into your FunctionAgent.

Q: How do I restrict which tools the indexer can access?

Use the allowedtools filter when configuring the tool spec. This prevents the agent from running mutation tools like profile identification if you only want it reading campaign stats.

Index your marketing data with LlamaIndex. Turn live Customer.io campaign metrics and user profiles into a queryable knowledge base.

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Connect Customer.io MCP to LlamaIndex

Create your Vinkius account to connect Customer.io 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 Customer.io with LlamaIndex

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RAG for marketing campaigns

LlamaIndex treats your MCP Server data as document sources. You can pull active messaging workflows using `list_automated_campaigns` and ingest the trigger types straight into a vector store. Querying past performance becomes a semantic search. The agent grabs delivery counts via `get_campaign_performance` and indexes the results, letting you ask plain-English questions about open rates across different quarters.

Index profiles with LlamaIndex

Turn your audience database into searchable context. A FunctionAgent can run `list_customers` to gather unique identifiers, then map them to deep behavioral data. Grounding answers in actual user state prevents hallucinations. The agent fetches specific attributes via `get_customer_details` and embeds that exact device token or segment membership into the active index.

Query newsletter segments

Combine live audience filtering with your document RAG. The agent checks `list_customer_segments` to find dynamic lists, then cross-references those membership counts against your internal strategy docs. You can also index your outbound content strategy. Fetching status data with `list_newsletters` or `list_broadcast_messages` gives the agent the exact scheduling metadata it needs to answer questions about upcoming sends.

Setup guide

Set up Customer.io 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 Customer.io 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 Customer.io tools.",
)
response = await agent.run("List recent Customer.io 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 Customer.io. 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 Customer.io MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Wrap it in an `McpToolSpec` and call `to_tool_list_async()` to pass the marketing tools into your FunctionAgent.

It indexes the metadata directly. Your agent calls the segment listing tools, embeds the membership counts, and makes that data available for semantic queries.

Use the `allowed_tools` filter when configuring the tool spec. This prevents the agent from running mutation tools like profile identification if you only want it reading campaign stats.

Yes, that is the primary use case. You merge the live KPI data from the engagement summary tool with your PDF reports into a single, unified vector index.

We handle authentication through a zero-trust architecture. When your agent fetches behavioral data and custom attributes, the server processes the request ephemerally without logging the payload.

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