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LangChainFramework
Aptabase (Mobile Analytics) MCP Server

Bring Telemetry
to LangChain

Learn how to connect Aptabase (Mobile Analytics) to LangChain and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Send Event

Compatible with every major AI agent and IDE

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Aptabase (Mobile Analytics)

What is the Aptabase (Mobile Analytics) MCP Server?

Connect your Aptabase account to any AI agent to streamline your mobile and desktop analytics workflow. Aptabase is a privacy-first, open-source alternative to Google Analytics and Firebase.

What you can do

  • Event Tracking — Send custom events like app_started, purchase_completed, or button_clicked with specific properties.
  • System Metadata — Include detailed system information such as OS name, version, app version, and locale for precise segmentation.
  • Privacy-First Analytics — Leverage Aptabase's privacy-centric approach to collect data without compromising user trust.
  • Custom Properties — Attach flat JSON objects to your events to capture granular user behavior and business metrics.

How it works

  1. Subscribe to this server
  2. Enter your Aptabase App Key
  3. Start sending telemetry data from your AI agent or development environment

Who is this for?

  • Mobile Developers — quickly test event triggers and telemetry payloads during development without manual SDK implementation.
  • Product Managers — simulate and verify analytics events for new features directly through conversation.
  • QA Engineers — automate the validation of analytics tracking across different OS versions and locales.

Built-in capabilities (1)

send_event

Processes events asynchronously. Send an event to Aptabase

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Aptabase (Mobile Analytics) through native MCP adapters. Connect 1 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.

  • The largest ecosystem of integrations, chains, and agents. combine Aptabase (Mobile Analytics) 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 Aptabase (Mobile Analytics) queries for multi-turn workflows

See it in action

Aptabase (Mobile Analytics) in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Aptabase (Mobile Analytics) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Aptabase (Mobile Analytics) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Aptabase (Mobile Analytics) in LangChain

The Aptabase (Mobile Analytics) 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Aptabase (Mobile Analytics)
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

The Vinkius Advantage

How Vinkius secures Aptabase (Mobile Analytics) for LangChain

Every tool call from LangChain to the Aptabase (Mobile Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I send custom metadata with my events?

Yes! Use the props field in the send_event tool to provide a JSON object with key-value pairs representing your custom properties.

02

Is it possible to track the specific OS version?

Absolutely. The send_event tool requires osName and osVersion parameters to ensure your telemetry is correctly segmented in the Aptabase dashboard.

03

Can I use this for self-hosted Aptabase instances?

Yes, you can optionally provide a baseUrl in the configuration to point the MCP server to your own self-hosted Aptabase instance.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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