MCP For Claude Marketplace
Stitch Data

Stitch Data MCP Connector for Claude

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Automate data pipelines via Stitch — manage sources, destinations, and push data directly to your warehouse from any AI agent.

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

Connect your Stitch Data account to any AI agent to orchestrate your ETL workflows and data ingestion through natural conversation.

What you can do

  • Source & Destination Management — List, create, and configure data sources and destinations (Redshift, S3, Snowflake, etc.) directly via the Connect API
  • Data Ingestion — Push batches of records or raw data to the Import API with schema validation for high-integrity data loading
  • Sync Control — Manually trigger replication jobs and monitor stream metadata to keep your warehouse up to date
  • Account Administration — Create client accounts and generate ephemeral sessions for secure frontend integrations
  • Pipeline Monitoring — Check extraction logs and load statuses to ensure your data pipelines are operating correctly

How it works

  1. Subscribe to this server
  2. Enter your Stitch Connect Token, Import Token, and Region
  3. Start managing your data infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Engineers — quickly check sync statuses and update source configurations without leaving the terminal or IDE
  • Analytics Teams — push custom data batches to warehouses for ad-hoc reporting or testing
  • Product Managers — monitor data pipeline health and verify successful loads across multiple client accounts
etldata-pipelinedata-ingestionwarehousestitch-data

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

create_account

Requires partner credentials. Create a new Stitch client account (Partners only)

create_destination

Configure a destination for an account

create_ephemeral_session

Generate a temporary token for the Connect JavaScript client

create_source

Create a new data source

delete_destination

Remove a destination

delete_source

Delete a source

get_import_status

Does not require authentication. Check if the Stitch Import API is operating correctly

list_destination_types

g., redshift, s3, snowflake). List available destination types

list_destinations

List configured destinations

list_extractions

List recent extraction jobs

list_loads

List recent data loading attempts

list_source_types

List available source types

list_sources

List all sources for an account

list_streams

List tables (streams) available in a source

push_import_batch

Recommended for best data typing. Push a batch of records for a single table to the Import API

push_import_data

Does not enforce schemas. Push data for one or more tables to the Import API

start_sync

Manually start a replication job

update_destination

Update destination settings

update_source

Update, pause, or unpause a source

update_stream_metadata

Select streams and fields for replication

validate_import_data

Used for testing credentials and request formatting. Validate data format and credentials without persisting data

See how to talk to your AI agent using Stitch Data.

List all my configured data destinations in Stitch.

I've retrieved your destinations. You have 2 active destinations: 'Production Redshift' (ID: dest_123) and 'Analytics Snowflake' (ID: dest_456).

Push this batch of user records to the 'users' table using push_import_batch.

Processing the batch... The data has been successfully pushed to the 'users' table. Stitch has queued the records for ingestion into your warehouse.

Trigger a manual sync for the source with ID src_987.

I've initiated the sync for source src_987. The replication job is now running and you can monitor the progress in the extraction logs.

You can use the `validate_import_data` tool. It functions exactly like a data push but only tests your credentials and data formatting without actually persisting any records.

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