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Moloco MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Moloco through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
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({
        "moloco": {
            "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 Moloco, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Moloco
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Moloco MCP Server

Connect your Moloco Ads account to your AI agent and manage your programmatic advertising campaigns through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Moloco through native MCP adapters. Connect 10 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

  • AdAccount Overview — List all advertising accounts and view their high-level status and balances.
  • Campaign Tracking — Fetch all campaigns for an account, monitor active ones, and update statuses (ENABLED/PAUSED).
  • AdGroup & Creative Insights — List ad groups and creative asset groups to understand your target segments and visuals.
  • Performance Reporting — Generate analytics reports for specific time ranges to track ROI and engagement.
  • Conversion Tracking — View recorded conversion events and monitor attribution tracking links.
  • Deep Inspection — Retrieve detailed configuration and metadata for specific campaigns.

The Moloco MCP Server exposes 10 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 Moloco to LangChain via MCP

Follow these steps to integrate the Moloco MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Moloco via MCP

Why Use LangChain with the Moloco MCP Server

LangChain provides unique advantages when paired with Moloco through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Moloco MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Moloco queries for multi-turn workflows

Moloco + LangChain Use Cases

Practical scenarios where LangChain combined with the Moloco MCP Server delivers measurable value.

01

RAG with live data: combine Moloco tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Moloco, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Moloco tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Moloco tool call, measure latency, and optimize your agent's performance

Moloco MCP Tools for LangChain (10)

These 10 tools become available when you connect Moloco to LangChain via MCP:

01

get_account_balance

Check AdAccount balance

02

get_analytics_report

Get performance analytics report

03

get_campaign

Get campaign details

04

list_ad_accounts

List Moloco AdAccounts

05

list_ad_groups

List ad groups in a campaign

06

list_campaigns

List campaigns in an AdAccount

07

list_conversions

List recorded conversion events

08

list_creative_groups

List creative asset groups

09

list_tracking_links

List attribution tracking links

10

update_campaign_status

g., ENABLED, PAUSED). Update campaign status

Example Prompts for Moloco in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Moloco immediately.

01

"List all active campaigns in my primary AdAccount."

02

"Pause the campaign with ID cp_98765."

03

"Check the balance for AdAccount AC-12345."

Troubleshooting Moloco MCP Server with LangChain

Common issues when connecting Moloco to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Moloco + LangChain FAQ

Common questions about integrating Moloco MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Moloco to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.