Toast Analytics Connector

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4.8 on G2

Weld · Data Sources

Toast AnalyticsYour warehouseLive

analytics_aggregated_sales23 columnsSynced

analytics_menu23 columnsSynced

analytics_check21 columnsSynced

analytics_labor18 columnsSyncing

analytics_labor_by_employee18 columnsQueued

Lands in

Agent context over MCP

How it works

Set up in minutes.
No code, no maintenance.

Toast Analytics

Data source

Authenticating...

Ready to connect

Overview

Toast Analytics in your warehouse.
Ready for your agents.

The Toast Analytics API provides an enterprise reporting and analytics service, and includes operations that retrieve information for all restaurants, or a subset of restaurants, in a management group, create requests for reporting data, and retrieve the reporting data. Weld's Toast Analytics connector is fully managed: it extracts data from Toast Analytics, loads it into your warehouse, and keeps it in sync. The data lands in a clean, documented schema with agent context attached, so analysts can query it with SQL or dbt, and agents can query it over the Weld MCP server without guessing at tables or joins.

Agent context

Toast Analytics data schema.
The map your agents read.

Every table, field and relationship Weld syncs from Toast Analytics is served to agents as context over MCP, so they pick the right tables and join on the right keys.

tables: 13
fields: 214

13 tables

Joins between these tables aren't mapped yet.

Open the schema explorer Open the full schema explorer

Weld MCP server

Ask your agent.
It already knows Toast Analytics.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Toast Analytics context, finds the tables it needs and queries your warehouse.

Agent contextToast Analytics tables, fields and joins
QuerySQL against your warehouse
OperateCheck, rerun and refresh syncs

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCPAgent contextToast Analyticstables13fields214

How many analytics_aggregated_sales rows do we have in our Toast Analytics data?

Reading the Toast Analytics context first, so the query uses the right tables and keys.

●weld·search_available_references

⎿raw.toast_analytics.analytics_aggregated_sales

+ 12 more Toast Analytics tables

●weld·get_reference_schema

⎿analytics_aggregated_sales · 23 columns

restaurant_guid, business_date

●weld·run_query

⎿select count(*) from {{raw.toast_analytics.analytics_aggregated_sales}}

submitted

●weld·get_query_status

⎿DONE

●weld·get_query_result

⎿rows returned

✓Answered from Toast Analytics data in your warehouse

>Ask about your Toast Analytics dataMCP

Destinations

Load Toast Analytics into any warehouse.
Set up in minutes, no code.

Resources

Everything you need.
To get started.

MCP server

Connect your agents

Set up Claude, Cursor, ChatGPT or Codex against your Weld workspace.

Weld Connect API

Build custom connectors

Use the Weld Connect API to build and publish your own connector.

FAQ

Common questions

Answers to frequently asked questions about Weld connectors.

Weld Connect API

Set it up in code.
One REST API.

Use the Weld Connect REST API to create Toast Analytics connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.

Explore Weld Connect API reference

POST/elt_syncs

# Create a Toast Analytics ELT sync
curl -X POST https://connect.weld.app/elt_syncs \
  -H "x-api-key: $API_KEY" \
  -d '{
    "connection_id": "conn_abc123",
    "integration_id": "toast-analytics",
    "destination_schema_name": "toast-analytics_data",
    "sync_interval": "0 * * * *"
  }'
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