CM.com MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Get Balance, List Numbers, Send Bulk Sms, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CM.com 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 CM.com app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CM.com. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in CM.com?"
)
print(response)
asyncio.run(main())
* 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 CM.com MCP Server
Connect your CM.com account to any AI agent and control your omnichannel communications through natural conversation.
LlamaIndex agents combine CM.com tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- SMS Messaging — Send individual SMS messages or broadcast to multiple recipients in a single request
- Rich Messaging — Deliver messages through WhatsApp, Viber, RCS, or Apple Messages for Business
- WhatsApp Templates — Send pre-approved WhatsApp Business template messages with namespace support
- Voice Communications — Place automated calls for voice OTP delivery or text-to-speech notifications
- Email Delivery — Send HTML emails through CM.com's delivery infrastructure
- OTP Verification — Send SMS OTPs and verify codes for two-factor authentication
- Account Management — Check your credit balance and list virtual phone numbers
The CM.com MCP Server exposes 11 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 11 CM.com tools available for LlamaIndex
When LlamaIndex connects to CM.com through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-notifications, omnichannel-messaging, whatsapp-business, 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.
com account. Check account balance
com account. List phone numbers
Send bulk SMS
com email delivery infrastructure. Send an email
Send OTP via SMS
Send a rich message
Send an SMS
Send voice notification
Send voice OTP
Send WhatsApp template
Verify OTP code
Connect CM.com to LlamaIndex via MCP
Follow these steps to wire CM.com into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the CM.com MCP Server
LlamaIndex provides unique advantages when paired with CM.com through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CM.com tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CM.com tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CM.com, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CM.com tools were called, what data was returned, and how it influenced the final answer
CM.com + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CM.com MCP Server delivers measurable value.
Hybrid search: combine CM.com real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CM.com to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CM.com for fresh data
Analytical workflows: chain CM.com queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for CM.com in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CM.com immediately.
"Send an SMS to +31612345678 saying 'Your order has been shipped' from our company number."
"Send OTP verification to +1555987654 and then verify the code 482910."
"Send a WhatsApp template message about appointment confirmation to +44789012345."
Troubleshooting CM.com MCP Server with LlamaIndex
Common issues when connecting CM.com to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCM.com + LlamaIndex FAQ
Common questions about integrating CM.com MCP Server with LlamaIndex.