# Indicate MCP server

AI-powered intelligence for your development workflow via Indicate.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-indicateio-indicate-mcp
- Repository: https://github.com/indicateio/indicate-vscode

## Install
- Endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (required)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- Header: Authorization

## Tools
- list_tenants - Step 1 — List all tenants the authenticated user can access. (In the Indicate system a tenant is called a 'space'.)
Returns each tenant's 'id' and 'displayName'.
→ Pass the chosen tenant 'id' as 'tenant_id' to every subsequent tool call. Endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- list_data_sources - Step 2 — List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.)
Examples: Google Analytics, Facebook Ads, vioma, Booking.com.
Returns each data source's 'id', 'displayName', and 'semantic_context_id'.
→ Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics. Endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- list_metrics - Step 3 — List metrics and their dimensions for a data source. (In the Indicate system a metric is called a 'data cube'.)
Each metric includes its dimensions; every dimension has a 'scope' that is either 'perspective' or 'group'.
→ Pass the metric 'id' as 'metric_id' to query_metric.
→ Pass dimension IDs with scope='perspective' as 'perspective_dimension_id' and scope='group' as 'group_dimension_id' to query_metric. Endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- query_metric - Step 4 — Fetch time-series data for a specific metric. All IDs are obtained from the previous steps in the workflow.
Optionally filter by date range (YYYY-MM-DD). Returns daily-granularity data points. Endpoint: https://industry.indicate-data.io/agent/semantic/mcp
- health_check - Check connectivity to the Indicate backend. Returns 'ok' if the server can reach the API, or an error message otherwise. Does not require authentication. Endpoint: https://industry.indicate-data.io/agent/semantic/mcp

## Resources
- indicate://terminology - Maps between user-facing tool names and Indicate system names. Use this to translate when a user refers to spaces, data products, or data cubes. MIME type: text/plain
- indicate://workflow - Step-by-step guide for using the Indicate Metric Explorer tools. MIME type: text/plain

## Prompts
- analyze_metric - Pre-built prompt to guide an LLM through a complete metric analysis. Provide a metric name or topic and an optional date range. Arguments: topic, date_range

## Metadata
- Owner: io.github.indicateio
- Version: 0.1.2
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Mar 1, 2026
- Source: https://registry.modelcontextprotocol.io