3,400+ MCP servers ready to use
Vinkius

Bring Kpi Tracking
to VS Code Copilot

Learn how to connect Databox to VS Code Copilot and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Data SourceCreate DatasetDelete DatasetGet Current UserGet Dataset DetailsGet Storage StatisticsList AccountsList Activity LogsList Data SourcesList Dataset MetricsList DatasetsPush Metrics Data

What is the Databox MCP Server?

Connect your Databox account to any AI agent and take full control of your business intelligence and data ingestion workflows through natural conversation.

What you can do

  • Dataset Orchestration — List and manage your database collections (tables) programmatically, including retrieving detailed schema metadata and primary key configurations
  • High-Fidelity Ingestion — Programmatically push arrays of raw data records directly into Databox to coordinate real-time metric visualization and reporting
  • Source Architecture — Access and manage your directory of data source integrations and connected accounts to maintain high-fidelity data feeds
  • Usage Monitoring — Programmatically track your data storage statistics and API activity logs to coordinate your analytics budget and quotas
  • Operational Visibility — Check authenticated user profiles and verify system connectivity directly through your agent for instant BI reporting

How it works

1. Subscribe to this server
2. Retrieve your API Key (v1) from your Databox dashboard (Account Settings > API Tokens)
3. Start pushing your business metrics and managing datasets from Claude, Cursor, or any MCP client

No more manual metric logging or digging through complex SQL transformations in the dashboard. Your AI acts as your dedicated data engineer and BI coordinator.

Who is this for?

  • Data Analysts — instantly ingest new data points and verify dataset structures using natural language commands
  • Marketing & Sales Ops — automate the reporting of custom metrics and monitor storage limits without leaving your workspace
  • Operations Leads — track API activity logs and manage data source connections through simple AI queries

Built-in capabilities (12)

create_data_source

Create a new data source

create_dataset

Create a new dataset

delete_dataset

Delete a dataset

get_current_user

Get authenticated user profile

get_dataset_details

Get details for a specific dataset

get_storage_statistics

Get data storage stats

list_accounts

List all Databox accounts

list_activity_logs

List API activity logs

list_data_sources

List data sources for an account

list_dataset_metrics

List metrics in a dataset

list_datasets

List all datasets

push_metrics_data

Ingest data into a dataset

Why VS Code Copilot?

GitHub Copilot Agent mode brings Databox data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Databox in VS Code Copilot

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

Databox and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Databox to VS Code Copilot 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ 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 Databox in VS Code Copilot

The Databox 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 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot 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.

Databox
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 Databox for VS Code Copilot

Every tool call from VS Code Copilot to the Databox 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

How do I find my Databox API Key?

Log in to your account, navigate to Account Settings > API Tokens, and copy your unique v1 API Key.

02

Can I create new datasets via AI?

Yes! Use the create_dataset tool. You'll need to specify a title, a source ID, and an array of primary keys for the table structure.

03

Does it support real-time data pushing?

The push_metrics_data tool allows for immediate ingestion of data records, making them available for visualization in Databox instantly.

04

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.