MCP For Claude Marketplace
Portable.io

Portable.io MCP Connector for Claude

A+

Manage your Portable ETL pipelines directly via your AI agent — monitor flows, sync runs, and destination details seamlessly.

6 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Portable.io account to your favorite AI agent and take orchestrate your data pipelines through natural language.

What you can do

  • Data Flows — List configured integration flows and view complex mapping details
  • Sync Runs — Monitor execution history, track successful row counts, and spot failure logs
  • Destinations & Connectors — Retrieve all supported SaaS extractors and targeted data warehouses (like Snowflake or BigQuery)
  • Account Status — Check your workspace bounds and execution limits instantly

How it works

  1. Subscribe to this server
  2. Enter your Portable API Key
  3. Command your pipelines via Claude, Cursor, or any MCP-compatible agent

Who is this for?

  • Data Engineers — troubleshoot pipeline runs and check mappings without switching context
  • Analytics Teams — trace delayed warehouse loads and investigate connector configurations
  • Ops Managers — monitor synchronization health across multiple SaaS environments
etldata-pipelinesaas-integrationdata-syncwarehouse-managementdata-engineering

6 tools expose this connector's capabilities to your AI agent.

list_flows

List all integration flows configured in Portable

get_flow

Get complete configuration details of a specific data flow

list_runs

List historical execution runs for a specific data flow

list_connectors

List available pre-built API data source connectors

list_destinations

g., Snowflake, BigQuery) currently authorized to receive raw data writes from active flows. List all configured data warehouse destinations

get_account

Retrieve the exact workspace and account billing details

See how to talk to your AI agent using Portable.io.

List all active ETL flows running in my Portable workspace.

I found 3 active flows. 'Stripe to Snowflake' runs every hour. 'Hubspot to BigQuery' runs daily. 'Shopify Orders' is paused. Would you like to view the recent execution runs for the Stripe sync?

Show the recent runs for flow ID 4087 and tell me if any failed.

For flow 4087, the last 4 runs were successful, processing exactly 12,045 rows. However, the run on Tuesday at 4 AM failed with 'API Rate Limit Exceeded' from the source connector. Should I pull the destination configuration details?

What destinations are currently configured to receive data?

You have 2 active destinations connected: 'Production Warehouse' (BigQuery) and 'Analytics Replica' (Snowflake). Connecting new flows will write directly into the authorized schemas on these platforms.

Yes. Ask the agent to list the historical runs for a specific flow ID. It will return the execution logs, row counts, and error details, allowing the AI to pinpoint exactly where and why the sync pipeline broke without navigating a UI dashboard.

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