Bring Retargeting
to LangChain
Create your Vinkius account to connect Adikteev to LangChain and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Adikteev MCP Server?
Connect your Adikteev account to your AI agent to unlock professional app retargeting and user retention insights. From managing custom audience segments to monitoring campaign performance and retrieving churn probability scores, your agent handles your mobile growth ecosystem through natural conversation.
What you can do
- Audience Orchestration — List, create, and manage audience segments for targeted app retargeting campaigns
- Performance Reporting — Retrieve detailed campaign performance data to monitor ROI and engagement metrics
- Churn Prediction — Access churn probability scores to identify at-risk app users before they leave your ecosystem
- Company Insights — List companies and retrieve technical metadata required for audience management
- Growth Monitoring — Quickly audit your retargeting efforts and identify high-value user segments directly from chat
How it works
- Subscribe to this server
- Enter your Adikteev API credentials (email and password)
- Start managing your app retargeting and tracking user retention through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Growth Marketers — automate audience segment management and campaign performance audits
- User Retention Specialists — retrieve churn scores to trigger personalized re-engagement workflows
- UA Managers — monitor retargeting ROI and identify the most profitable user segments
- Data Analysts — pull historical campaign data into your B2B intelligence tools effortlessly
Built-in capabilities (5)
Create an audience segment
Retrieve user churn scores
Get campaign performance data
Retrieve your company ID
List audience segments
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Adikteev through native MCP adapters. Connect 5 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.
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The largest ecosystem of integrations, chains, and agents. combine Adikteev MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Adikteev queries for multi-turn workflows
Adikteev in LangChain
Why run Adikteev with Vinkius?
The Adikteev connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Adikteev using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Adikteev and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Adikteev to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Adikteev for LangChain
Every request between LangChain and Adikteev is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get my Adikteev API account?
You must contact your Adikteev Account Manager to have them enable API access for your account. Once enabled, you can use your standard login credentials (email and password) to authorize the agent.
What is a Churn Score?
A churn score ranks app users by their probability of leaving. Adikteev provides these in 'buckets' from 1 to 10, where 10 represents the highest risk of churn.
How do I create a new audience segment?
Use the create_segment tool and provide your companyId, a name, and a description. Your agent will create the segment in Adikteev and provide a segmentId for device ID uploads.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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