Adjust MCP Server for LangChain 3 tools — connect in under 2 minutes
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.
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({
"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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine Adjust 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 Adjust queries for multi-turn workflows
Adjust + LangChain Use Cases
Practical scenarios where LangChain combined with the Adjust MCP Server delivers measurable value.
RAG with live data: combine Adjust tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Adjust, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Adjust tools with web scrapers, databases, and calculators in a single agent run
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:
get_app_settings
Get app configuration
get_kpi_report
Filterable by date. Get aggregated KPI metrics
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.
"Retrieve the settings for my app with token 'abcdef123456'."
"Inspect the attribution status for ADID '12345-67890'."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAdjust + LangChain FAQ
Common questions about integrating Adjust 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 Adjust 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 Adjust to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
