How do I find my Measured API Key?

You can find your API Key in the Measured platform settings or by contacting your Measured Customer Success Manager (CSM).

What is an incrementality score?

It measures the true causal impact of your ad spend on business outcomes, going beyond standard last-click attribution.

Is my marketing data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Measured MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Measured
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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

asyncio.run(main())

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 Measured MCP Server

Connect your Measured account to any AI agent and take full control of your marketing incrementality and performance data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Measured 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

Incrementality Insights — Access true causal impact scores across all your marketing channels
Performance Tracking — Monitor spend, revenue, and ROAS metrics from over 300 managed integrations
Channel Orchestration — List and inspect performance data for specific channels like Facebook, Google, or Amazon
Automated Reporting — Retrieve performance summaries, insights, and automated reports instantly

The Measured 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 Measured to LangChain via MCP

Follow these steps to integrate the Measured 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 Measured via MCP

Why Use LangChain with the Measured MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Measured 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 Measured queries for multi-turn workflows

Measured + LangChain Use Cases

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

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

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

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

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

Measured MCP Tools for LangChain (8)

These 8 tools become available when you connect Measured to LangChain via MCP:

get_campaign_performance

Get performance for a specific campaign

get_incrementality_scores

Get incrementality scores across channels

get_insights

Get marketing insights

get_performance_by_channel

Get performance metrics for a specific channel

get_performance_summary

Get a unified performance summary

list_channels

g. Facebook, Google Ads). List all marketing channels tracked by Measured

list_integrations

List managed integrations

list_reports

List available performance reports

Example Prompts for Measured in LangChain

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

"List all active marketing channels in Measured."

"Show performance for Facebook Ads last month."

"What are the latest marketing insights?"

Troubleshooting Measured MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Measured + LangChain FAQ

Common questions about integrating Measured MCP Server with LangChain.

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.

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.