How do I find my Adjust API Token?

Log in to your Adjust dashboard, go to **My Profile** or **Account Settings**, and find the **API Token** section. You can copy your existing token or generate a new one there.

Can I check the attribution of a test device?

Yes! Use the `inspect_device` tool and provide the Adjust Device ID (ADID). Your agent will return the current tracker, network, and campaign associated with that device.

Does this server support KPI reporting?

Yes, you can use the `get_kpi_report` tool to retrieve aggregated performance data such as installs, re-attributions, and clicks for your apps.

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

Name: Adjust
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to Adjust through Vinkius, pass the Edge URL in the `mcps` parameter and every Adjust tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Adjust Specialist",
    goal="Help users interact with Adjust effectively",
    backstory=(
        "You are an expert at leveraging Adjust tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Adjust "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Adjust becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Adjust tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Adjust MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from Adjust

Why Use CrewAI with the Adjust MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Adjust through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Adjust + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Adjust for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Adjust, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Adjust tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Adjust against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Adjust MCP Tools for CrewAI (3)

These 3 tools become available when you connect Adjust to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Adjust + CrewAI FAQ

Common questions about integrating Adjust MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.