Le Chat is Mistral AI's assistant. This destination lets Le Chat read data from any source you connect in Dataddo, so you can ask questions about your data in plain language. Dataddo delivers the data directly to the model and takes care of the rest.
Dataddo handles the whole pipeline for you. It keeps the data fresh, stores it in SmartCache, and serves it through a built-in querying layer. Every answer comes with metadata: technical metadata such as data freshness, and business metadata such as what each table and column means. You do not write any code.
How It Works
On the Data Anywhere and Enterprise plans, Le Chat is a destination, and the data comes from the flows you attach to it. On the Data to AI plan, Le Chat is an AI Model, and the data comes from the Contexts you attach to it. A Context is data that Dataddo keeps ready to query. When Le Chat needs data, Dataddo serves it from SmartCache and returns the rows together with their freshness and business metadata.
Access is authorized with OAuth. You sign in to Dataddo from Le Chat once, with your Dataddo email and password. Le Chat then keeps the connection active and renews it in the background, so you do not handle any tokens.
What Le Chat Can Do with Your Data
Dataddo exposes your data through its data MCP server at https://headless.dataddo.com/mcp-data. The server is a semantic layer: Le Chat asks in business terms (customers, invoices, deals), and Dataddo never accepts SQL from the model. The tools fall into these groups:
| Tools | Purpose |
|---|---|
list_flows, describe_flow |
See which flows are available to your account and what each one holds. |
list_models, list_entities, describe_entity, search, sample_values |
Find the business entities, fields, relationships and metrics that can be queried. |
query |
Query an entity by field names, with filters, grouping, date grains and predefined metrics. |
data_status, known_gaps |
Check how fresh the data is and which questions the data cannot answer. |
refresh, report_problem |
Request fresh data for an entity, or report an answer that looks wrong. |
A flow or Context can be available but not yet queryable. The model can see it as soon as it is attached, but it can query it only after a semantic model covers it. list_flows reports this for each one.
Setup Overview
The steps depend on your Dataddo plan:
- On the Data Anywhere and Enterprise plans, you work with sources, flows and destinations.
- On the Data to AI plan, you work with Contexts and AI Models instead.
- Create a Mistral authorizer.
- Make your data available:
- Data Anywhere and Enterprise: create a Mistral destination that uses the authorizer, then attach one or more flows to it.
- Data to AI: create a Mistral AI Model that uses the authorizer, then attach one or more Contexts to it.
- Add the Dataddo connector in Le Chat and sign in with your Dataddo account.
After you sign in, Le Chat can access every flow or Context attached to an AI destination or AI Model in your Dataddo account, not only the ones attached to Mistral. Their data appears after they run for the first time.
Authorize Connection to Mistral
Authorize the connection so Dataddo can serve your data to Le Chat:
- Go to Authorizers and click Authorize New Service.
- Select Mistral.
- Fill in the field below and click Save. Dataddo validates the connection when you save it.
| Field | Description |
|---|---|
| Label | A name for this authorizer in Dataddo. |
Make Your Data Available to Mistral
Follow the steps for your plan.
Data Anywhere and Enterprise Plans
- Go to Destinations, click Create Destination, and select Mistral.
- Enter a name, choose the authorizer you created, and click Save.
- Go to Flows and click Create Flow.
- Add one or more sources.
- Add the Mistral destination.
- Set the schedule that keeps the data fresh and click Save.
Data to AI Plan
- Go to AI Models and add a new one.
- Select Mistral.
- Enter a name and choose the authorizer you created.
- Attach one or more Contexts to the AI Model.
- Click Save.
Set Up the Connection in Le Chat
You need administrator access in your Le Chat workspace. On the Free, Pro and Student plans, the account owner is the administrator.
- Open the Connectors page in Le Chat and select + Add Connector.
- Switch to the Custom MCP Connector tab.
- Set Connector name to
Dataddo(no spaces or special characters) and Server URL tohttps://headless.dataddo.com/mcp-data. - Click Connect. Le Chat detects that the server uses OAuth and opens the Dataddo sign-in page.
- Enter your Dataddo email and password, and complete multi-factor authentication if you are asked to.
- Enable the connector in your conversation to activate the Dataddo tools.
Troubleshooting
- A flow or Context is missing: attach it to an AI destination or AI Model in the Dataddo account you signed in with, then let it run.
- Le Chat asks you to sign in again: the sign-in expired or was revoked. Reconnect the connector and sign in to Dataddo.
- Le Chat does not open the Dataddo sign-in page: check that the Server URL is exactly
https://headless.dataddo.com/mcp-data. If Le Chat asks for a Bearer token instead, remove the connector and add it again. - A flow or Context is listed but Le Chat cannot query it: it is available but no semantic model covers it yet.
- Le Chat cannot fetch data: check that the flow has run at least once, so the Context holds data.
- Stale data: review the flow schedule. Dataddo serves the most recent data it has stored for the Context.