Cometly MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cometly 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 Cometly. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Cometly?"
)
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 Cometly MCP Server
Connect your AI to Cometly, the ad attribution platform for Meta, Google, TikTok and more.
LlamaIndex agents combine Cometly 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
- Event Tracking — Track purchases, leads, and custom events with attribution metadata.
- Campaign Analytics — List campaigns and retrieve ROAS, CPA, and conversion stats.
- Attribution Data — Query which ads drive your highest-value conversions.
The Cometly 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.
How to Connect Cometly to LlamaIndex via MCP
Follow these steps to integrate the Cometly 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 8 tools from Cometly
Why Use LlamaIndex with the Cometly MCP Server
LlamaIndex provides unique advantages when paired with Cometly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cometly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cometly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cometly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cometly tools were called, what data was returned, and how it influenced the final answer
Cometly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cometly MCP Server delivers measurable value.
Hybrid search: combine Cometly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cometly 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 Cometly for fresh data
Analytical workflows: chain Cometly queries with LlamaIndex's data connectors to build multi-source analytical reports
Cometly MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Cometly to LlamaIndex via MCP:
get_campaign_stats
Retrieve performance stats for a specific campaign
list_ad_accounts
Retrieve a list of connected ad accounts (Meta, Google, etc.)
list_campaigns
Retrieve a list of all tracked ad campaigns
list_contacts
Retrieve a list of attributed contacts and their customer journey data
list_events
Retrieve a list of tracked events in Cometly
track_event
Send a conversion event (Purchase, Lead, etc.) to Cometly for attribution
track_lead
Quickly track a lead event
track_purchase
Quickly track a purchase event
Example Prompts for Cometly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cometly immediately.
"Track a purchase of $99.90 for 'customer@example.com' with order 'ORD-123'."
"Get performance stats for campaign 'camp-xxxx' over the last 30 days."
"List the top 3 best performing active campaigns by ROAS."
Troubleshooting Cometly MCP Server with LlamaIndex
Common issues when connecting Cometly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCometly + LlamaIndex FAQ
Common questions about integrating Cometly 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 Cometly 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 Cometly to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.