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Metaplane MCP, Ready to Go

Manage data quality and observability for your pipelines. Use Metaplane MCP with Claude or Cursor to check monitors and incidents via your AI agent.

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Manage data quality and observability for your production pipelines.

Metaplane MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Metaplane Connector?

750ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 528ms
Average 750ms
Max 946ms
Trend (improving) ↓ 15%
Daily latency
946ms 7/12/2026
750ms 7/13/2026
744ms 7/14/2026
794ms 7/15/2026
814ms 7/16/2026
715ms 7/17/2026
756ms 7/18/2026
714ms 7/19/2026
793ms 7/20/2026
621ms 7/21/2026
616ms 7/22/2026
600ms 7/23/2026
808ms 7/24/2026
528ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Metaplane 10 Data Quality Tools

Use these tools to check monitor health, list incidents, and view your data connections through your AI client.

Get account info

Get your current account details from Metaplane. Use this to verify your connection status.

Get incident

Fetch the specific details for a single data incident. This helps you see the exact error message.

Get monitor

Retrieve the full metadata and status for a specific monitor. Use this to see if a check passed.

Get monitor runs

Look up the history of runs for a particular monitor. This shows you the trend of your data quality.

List configured alerts

See a list of all your active alert configurations. Use this to audit your notification rules.

List data connections

View every data source connection you have set up. This gives you a high level view of your stack.

List incidents

Get a full list of all your data incidents. Use this to see what's currently broken across your data.

List monitors

See every data monitor currently configured in your account. This helps you see your full monitoring coverage.

List connection schemas

List all schemas for a specific data connection. Use this to verify that your tables are visible.

Trigger monitor run

Manually start a monitor run to check data quality right now. This is great for manual validation.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Metaplane MCP for Data Quality Monitoring

This is for the data engineer who's tired of clicking through three different dashboards at 2am to find out why a production table is empty. It's for the analyst who needs to verify that a new schema is actually live before they start building a report.

Data Engineer

Uses this to quickly debug failed pipelines and check monitor run histories during on-call shifts.

Data Analyst

Checks data connection schemas and monitor health to ensure data is ready for reporting.

Data Ops Manager

Summarizes recent incidents and audits alert configurations for team status updates.

Frequently Asked Questions

What is the Metaplane MCP for? +

It's for managing your data quality and observability. You can ask your agent to check monitor statuses, find incidents, and view your data connections.

Can I use Metaplane MCP to see my database schemas? +

Yes, you can use it to list schemas for any of your connected data sources. This helps you understand your data lineage without leaving your chat.

How do I check for recent data incidents with Metaplane MCP? +

Just ask your agent to list your incidents. It will pull the latest alerts and give you a summary of what's broken and its current status.

Can I manually run a data check using Metaplane MCP? +

Yes, you can trigger a specific monitor run on demand. This is great for verifying data quality before a big release.

Does Metaplane MCP work with Claude or Cursor? +

Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf. You just need to connect your Metaplane API key.

How do I find my Metaplane API Key? +

Log in to Metaplane, go to your Account Settings, and you can generate or copy your API Key from the API section.

Can I trigger a monitor run manually? +

Yes! Use the trigger_monitor_run tool and provide the monitor ID to start a data quality check immediately.

Is my data observability data secure? +

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Your AI, connected to everything.

No credit card required · Free tier available

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