MCPs for data analytics, BI, and dashboards
Analytics MCP servers expose data warehouses, BI dashboards, and product analytics to agents. They let an agent answer 'how's the business doing' by pulling live data and synthesizing a narrative. Combine with database + messaging MCPs for auto-generated exec reports.
Analytics MCPs connect agents to data warehouses (DuckDB, ClickHouse, BigQuery), BI tools (Grafana, Metabase, Looker), and product analytics (PostHog, Mixpanel, Amplitude). Agents can query, chart, and narrate data in natural language.
Query Parquet files directly from S3 using DuckDB without any ETL. Results are returned in seconds for ad-hoc analytics.
Stream Postgres metrics — query latency, lock waits, vacuum stats — into Grafana for a live operations dashboard.
Connect ClickHouse to Grafana to build real-time analytics dashboards over billions of events with sub-second query times.
Yes — modern LLMs write surprisingly good SQL, especially when the MCP exposes schema metadata. Always scope to read-only for safety.
Grafana, Metabase, and Looker MCPs can create/update dashboards. DuckDB/ClickHouse return raw data the agent can then render.
Add LIMIT clauses, ask the agent to summarize first, or use streaming responses. Never dump 100k rows into the LLM context.
Yes — DuckDB is often used as the federation layer. It can query Postgres, S3 Parquet, and ClickHouse in a single SQL statement.
Browse the full marketplace or explore all tags to find the right MCPs for your stack.