How to Use the CM.com MCP in LlamaIndex

Q: How do I register the CM.com tools in LlamaIndex?

Install llama-index-tools-mcp and instantiate BasicMCPClient with your Vinkius URL. Convert the server tools using McpToolSpec and pass them to your LlamaIndex FunctionAgent to make the MCP Server active.

Q: Can a LlamaIndex agent query past CM.com transactions?

The LlamaIndex agent can query active numbers using listnumbers and index the results. While it doesn't query historical logs directly, it indexes all current session outputs for semantic search.

Q: Does this integration support custom WhatsApp templates?

Yes, the sendwhatsapp tool allows your LlamaIndex agent to populate and send pre-approved WhatsApp templates using data extracted from your index.

Index messaging logs and trigger CM.com alerts directly from your LlamaIndex RAG pipelines.

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Connect CM.com MCP to LlamaIndex

Create your Vinkius account to connect CM.com 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 CM.com with LlamaIndex

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Grounding communications with LlamaIndex and MCP

The `send_rich_message` tool delivers media-rich content, while `send_sms` handles standard text dispatch. LlamaIndex feeds context from your vector indices directly into these CM.com tools. Your agent pulls relevant product specs or user data from your knowledge base to construct the message payload. This eliminates generic templates. The agent queries your document store first, extracts the precise answer, and formats it for CM.com, ensuring every message contains accurate, context-grounded information.

Indexing active numbers and account status

The `list_numbers` tool retrieves your active sender profiles, and `get_balance` checks your available messaging funds. LlamaIndex indexes these CM.com outputs directly into your vector store. Your RAG workflows can query this index to verify which sender identities are active before dispatching messages. This keeps your system updated without constant live API polling. The agent references the indexed data to select the correct phone number for specific regional campaigns.

RAG-driven fallback via the CM.com MCP Server

The `send_voice_message` tool sends pre-recorded notifications, and `send_email` delivers longer documents. LlamaIndex agents use these CM.com tools to match the output format with the user's preferred communication channel stored in your database. If a user query requires a long-form PDF, the agent selects the email tool. For urgent alerts, it triggers a voice broadcast, pulling the script directly from your indexed knowledge base to maintain consistency.

Setup guide

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

Install `llama-index-tools-mcp` and instantiate `BasicMCPClient` with your Vinkius URL. Convert the server tools using `McpToolSpec` and pass them to your LlamaIndex `FunctionAgent` to make the MCP Server active.

The LlamaIndex agent can query active numbers using `list_numbers` and index the results. While it doesn't query historical logs directly, it indexes all current session outputs for semantic search.

Your LlamaIndex agent evaluates user metadata from your vector index. It then chooses `send_email` for long documents or `send_sms` for short, time-sensitive alerts.

Yes, the `send_whatsapp` tool allows your LlamaIndex agent to populate and send pre-approved WhatsApp templates using data extracted from your index.

Vinkius routes all payloads through secure, ephemeral V8 isolates. Your phone numbers, email bodies, and OTP payloads are transmitted directly to CM.com without being cached or logged on Vinkius disks.

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