Cometly MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cometly through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cometly": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Cometly, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Cometly through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Cometly MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Cometly via MCP
Why Use LangChain with the Cometly MCP Server
LangChain provides unique advantages when paired with Cometly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cometly MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cometly queries for multi-turn workflows
Cometly + LangChain Use Cases
Practical scenarios where LangChain combined with the Cometly MCP Server delivers measurable value.
RAG with live data: combine Cometly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cometly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cometly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cometly tool call, measure latency, and optimize your agent's performance
Cometly MCP Tools for LangChain (8)
These 8 tools become available when you connect Cometly to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Cometly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCometly + LangChain FAQ
Common questions about integrating Cometly MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.