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Customers.ai MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Add Tag To Contact, Get Contact, List Xray Leads, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Customers.ai 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 App Connector for LlamaIndex

The Customers.ai app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Customers.ai. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Customers.ai?"
    )
    print(response)

asyncio.run(main())
Customers.ai
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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 Customers.ai MCP Server

Connect your Customers.ai (formerly MobileMonkey) account to any AI agent and take full control of your automated messaging and B2B identity resolution workflows through natural conversation.

LlamaIndex agents combine Customers.ai tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

  • Contact Orchestration — List and search your contact database programmatically, retrieving detailed metadata from identity resolution pipelines like X-Ray Pixel
  • Multichannel Engagement — Programmatically dispatch plain text or high-fidelity JSON messages (including galleries and buttons) across SMS and chat channels
  • Identity Resolution Intelligence — Access leads identified through website visits to prioritize high-intent prospects and maintain a high-fidelity sales pipeline
  • Attribute Management — Programmatically update custom contact attributes and manage audience segments through dynamic tagging directly from your agent
  • Lead Discovery — Find contacts by email, phone, or external identifiers to perfectly coordinate your multichannel outreach and follow-ups

The Customers.ai MCP Server exposes 8 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.

All 8 Customers.ai tools available for LlamaIndex

When LlamaIndex connects to Customers.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning customersai, identity-resolution, messaging-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_tag_to_contact

Add a tag to a contact

get_contact

Get contact profile details

list_xray_leads

List identified website visitors

remove_tag_from_contact

Remove a tag from a contact

search_contacts

Search for contacts in Customers.ai

send_rich_message

Send a structured JSON message

send_text_message

Send a text message to a contact

update_contact_attributes

Update attributes for a contact

Connect Customers.ai to LlamaIndex via MCP

Follow these steps to wire Customers.ai into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 8 tools from Customers.ai

Why Use LlamaIndex with the Customers.ai MCP Server

LlamaIndex provides unique advantages when paired with Customers.ai through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Customers.ai tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Customers.ai tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Customers.ai, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Customers.ai tools were called, what data was returned, and how it influenced the final answer

Customers.ai + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Customers.ai MCP Server delivers measurable value.

01

Hybrid search: combine Customers.ai real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Customers.ai to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Customers.ai for fresh data

04

Analytical workflows: chain Customers.ai queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Customers.ai in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Customers.ai immediately.

01

"List the last 5 leads identified via X-Ray Pixel."

02

"Find the contact with email 'jane.doe@example.com'."

03

"Add the 'Q2 Campaign' tag to contact ID '1024'."

Troubleshooting Customers.ai MCP Server with LlamaIndex

Common issues when connecting Customers.ai to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Customers.ai + LlamaIndex FAQ

Common questions about integrating Customers.ai MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Customers.ai tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.