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Cube.dev MCP Server

Bring Semantic Layer
to Cline

Learn how to connect Cube.dev to Cline and start using 15 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
Check LiveCheck ReadyConvert QueryExecute Cube SqlGenerate Meta TokenGet EntityGet MetaGet Pre Aggregation Job StatusGet SqlList Data SourcesList DeploymentsList EntitiesList EnvironmentsLoad QueryTrigger Pre Aggregation Job

Compatible with every major AI agent and IDE

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ChatGPTChatGPT
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GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
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Cube.dev

What is the Cube.dev MCP Server?

Connect your Cube.dev instance to any AI agent to bridge the gap between natural language and your data warehouse. This server allows your agent to interact with Cube's semantic layer, ensuring consistent metrics and high-performance data retrieval.

What you can do

  • Data Querying — Execute complex REST API queries using load_query to fetch aggregated data with measures, dimensions, and filters.
  • SQL Inspection — Use get_sql and execute_cube_sql to debug or run raw queries against the SQL API for deep data investigation.
  • Metadata Exploration — Retrieve cube definitions, views, and segments via get_meta to understand your data model without leaving the chat.
  • Performance Management — Trigger and monitor background pre-aggregation builds with trigger_pre_aggregation_job to ensure your dashboards stay fast.
  • Cloud Management — List deployments and environments if using Cube Cloud to manage your infrastructure context.

How it works

  1. Subscribe to this server
  2. Provide your Cube API URL and Secret Token
  3. Start asking questions about your data metrics and model structure

Who is this for?

  • Data Engineers — quickly verify data models and trigger cache refreshes via CLI or AI interface.
  • Analytics Engineers — debug generated SQL and inspect metadata to ensure metric consistency.
  • Product Managers — get instant answers to data questions by letting the AI query the semantic layer directly.

Built-in capabilities (15)

check_live

Check if Cube deployment is live

check_ready

Check if Cube deployment is ready

convert_query

Convert a SQL query to a REST API query format

execute_cube_sql

Execute a raw SQL query against the SQL API

generate_meta_token

Requires CUBE_CLOUD_API_KEY. Generate a JWT for the Metadata API

get_entity

Get detailed metadata for a specific entity

get_meta

Get metadata for cubes and views

get_pre_aggregation_job_status

Get status of pre-aggregation jobs

get_sql

Useful for debugging. Get generated SQL for a Cube query

list_data_sources

List configured data sources

list_deployments

Requires CUBE_CLOUD_API_KEY. List all Cube Cloud deployments

list_entities

List all cubes and views

list_environments

Requires CUBE_CLOUD_API_KEY. List environments for a deployment

load_query

Use this to get aggregated data. Execute a Cube query and return results

trigger_pre_aggregation_job

Trigger a pre-aggregation build job

Why Cline?

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Cube.dev tool calls without waiting for prompts between steps. Connect 15 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

  • Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

  • Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

  • Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

  • Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

See it in action

Cube.dev in Cline

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

Cube.dev and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Cube.dev to Cline 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 Cube.dev in Cline

The Cube.dev 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 15 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Cline 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.

Cube.dev
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 Cube.dev for Cline

Every tool call from Cline to the Cube.dev 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 see the exact SQL that Cube generates for a specific query?

Yes. You can use the get_sql tool. By providing the query JSON, the agent will return the generated SQL string, which is perfect for debugging or verifying your data logic.

02

How do I refresh the data cache or pre-aggregations using the AI?

You can use the trigger_pre_aggregation_job tool. You can specify which cubes or data sources to target, and the agent will initiate the background build process for you.

03

Is it possible to explore the available measures and dimensions?

Absolutely. Use the get_meta tool to fetch all metadata. This allows the AI to understand what data is available to be queried, including views and segments.

04

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.

05

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.

06

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

07

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Click the server name to see logs. Verify the URL and token are correct.

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