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Adjust MCP Server for LangChain 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Adjust 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({
        "adjust": {
            "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 Adjust, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Adjust
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 Adjust MCP Server

Connect your Adjust account to your AI agent to unlock professional mobile measurement and attribution insights. From auditing app settings to inspecting device attribution and monitoring key performance indicators (KPIs), your agent handles your mobile growth data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Adjust through native MCP adapters. Connect 3 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

  • App Automation — Retrieve and audit technical settings for your mobile applications, including event tokens and partner parameters
  • Device Inspection — Verify the attribution status of specific devices using their advertising IDs (ADID) for testing and support
  • KPI Monitoring — Retrieve aggregated performance metrics like installs, clicks, and sessions to monitor app growth
  • Event Tracking Audit — List active event tokens and verify that your in-app events are correctly configured
  • Attribution Oversight — Quickly identify which networks and campaigns are driving the most high-value users directly from chat

The Adjust MCP Server exposes 3 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 Adjust to LangChain via MCP

Follow these steps to integrate the Adjust 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 3 tools from Adjust via MCP

Why Use LangChain with the Adjust MCP Server

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

01

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

Adjust + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Adjust MCP Tools for LangChain (3)

These 3 tools become available when you connect Adjust to LangChain via MCP:

01

get_app_settings

Get app configuration

02

get_kpi_report

Filterable by date. Get aggregated KPI metrics

03

inspect_device

Inspect device attribution

Example Prompts for Adjust in LangChain

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

01

"Retrieve the settings for my app with token 'abcdef123456'."

02

"Inspect the attribution status for ADID '12345-67890'."

03

"Show me the total installs for last week."

Troubleshooting Adjust MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Adjust + LangChain FAQ

Common questions about integrating Adjust 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 Adjust to LangChain

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.