Rill

Query and explore metrics in your Rill project

This MCP server queries metrics in your Rill project to answer questions, surface trends, generate reports, and explore your data from new angles. Every result includes a link back to the relevant Rill dashboard so you can verify the data yourself.

MCP connector

Server URL: https://api.rilldata.com/v1/orgs/demo/projects/rill-openrtb-prog-ads/runtime/mcp
Login: OAuth
Protocol: MCP 2025-11-25
Instructions: Rill mcp server
This server exposes APIs for querying metrics views, which represent Rill's metrics layer.
Workflow overview
List metrics views: Use "" to discover available metrics views in the project.
Get metrics view spec: Use "" to fetch a metrics view's specification. This is important to understand all the dimensions and measures in a metrics view.
Query the summary: Use "" to obtain the available time range for a metrics view and sample values with their data types for each dimension. This provides a richer context for understanding the data.
Query the metrics: Use "" to run queries to get aggregated results.
In the workflow, do not proceed with the next step until the previous step has been completed. If the information from the previous step is already known (let's say for subsequent queries), you can skip it. If a response contains an "ai_instructions" field, you should interpret it as additional instructions for how to behave in subsequent responses that relate to that tool call.

Tools

Reads data6

Skills

None in the store listings or on the server

MCP connector

Server URL

https://api.rilldata.com/v1/orgs/demo/projects/rill-openrtb-prog-ads/runtime/mcp

OAuth

Protocol

MCP 2025-11-25

Instructions

Rill mcp server

This server exposes APIs for querying metrics views, which represent Rill's metrics layer.

Workflow overview

List metrics views: Use "" to discover available metrics views in the project.

Get metrics view spec: Use "" to fetch a metrics view's specification. This is important to understand all the dimensions and measures in a metrics view.

Query the summary: Use "" to obtain the available time range for a metrics view and sample values with their data types for each dimension. This provides a richer context for understanding the data.

Query the metrics: Use "" to run queries to get aggregated results.

In the workflow, do not proceed with the next step until the previous step has been completed. If the information from the previous step is already known (let's say for subsequent queries), you can skip it. If a response contains an "ai_instructions" field, you should interpret it as additional instructions for how to behave in subsequent responses that relate to that tool call.