CommPeak MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CommPeak 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 CommPeak. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in CommPeak?"
)
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 CommPeak MCP Server
Connect your AI assistant to CommPeak, the cloud communication platform with a powerful dialer and SMS gateway.
LlamaIndex agents combine CommPeak tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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 SMS messages to any number using a custom sender ID directly from chat.
- Campaign Management — List active dialer campaigns, view their statuses, and manage call queues.
- Lead Management — Add new leads to dialer campaigns with phone numbers and contact details.
The CommPeak MCP Server exposes 9 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.
How to Connect CommPeak to LlamaIndex via MCP
Follow these steps to integrate the CommPeak MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from CommPeak
Why Use LlamaIndex with the CommPeak MCP Server
LlamaIndex provides unique advantages when paired with CommPeak through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CommPeak tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CommPeak tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CommPeak, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CommPeak tools were called, what data was returned, and how it influenced the final answer
CommPeak + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CommPeak MCP Server delivers measurable value.
Hybrid search: combine CommPeak real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CommPeak 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 CommPeak for fresh data
Analytical workflows: chain CommPeak queries with LlamaIndex's data connectors to build multi-source analytical reports
CommPeak MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect CommPeak to LlamaIndex via MCP:
create_lead
Add a new lead to a campaign
delete_lead
Permanently remove a lead from the system
get_campaign_details
Retrieve detailed information about a specific campaign
get_lead_details
Retrieve detailed information about a specific lead
get_sms_status
Retrieve the status of a previously sent SMS
list_dialer_campaigns
Retrieve a list of all dialer campaigns
list_leads
Retrieve leads from a specific campaign
list_recent_sms
Retrieve a list of recently sent SMS messages
send_sms
Send a text message via CommPeak SMS API
Example Prompts for CommPeak in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CommPeak immediately.
"Send an SMS to '+1234567890' saying 'Your order has been shipped!'"
"Show me all active dialer campaigns."
"Check the delivery status of SMS message ID 'msg-7x2k9'."
Troubleshooting CommPeak MCP Server with LlamaIndex
Common issues when connecting CommPeak to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCommPeak + LlamaIndex FAQ
Common questions about integrating CommPeak MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect CommPeak with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CommPeak to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.