Semantic layers, agentic analytics, MCP, and shipping governed data to AI agents.https://bonnard.dev/https://bonnard.dev/blog/mcp-dashboards-and-embedded-charts/https://bonnard.dev/blog/mcp-dashboards-and-embedded-charts/Your MCP server can now return a whole dashboard from one tool call, and render the same chart inside your own admin console. What shipped in @bonnard/mcp-charts since the visualize tool.Mon, 03 Aug 2026 00:00:00 GMThttps://bonnard.dev/blog/warehouse-as-semantic-layer/https://bonnard.dev/blog/warehouse-as-semantic-layer/Before adopting Cube.dev or a custom semantic layer, use your warehouse's native metadata (comments, keys, enums, stats) as a lightweight one for agents.Thu, 16 Jul 2026 00:00:00 GMThttps://bonnard.dev/blog/mcp-charts/https://bonnard.dev/blog/mcp-charts/Give your AI agent a visualize tool: interactive charts inside any MCP Apps client from real query data. Works with any MCP server via @bonnard/mcp-charts.Thu, 25 Jun 2026 00:00:00 GMThttps://bonnard.dev/blog/how-bonnard-builds-agent-friendly-mcps/https://bonnard.dev/blog/how-bonnard-builds-agent-friendly-mcps/Exposing data over MCP is easy. Designing a tool an agent uses well is hard. Discovery-first tools, compact responses, instructive errors, determinism.Tue, 16 Jun 2026 00:00:00 GMThttps://bonnard.dev/blog/ai-data-analysis/https://bonnard.dev/blog/ai-data-analysis/A guide to AI data analysis for SaaS: the tool categories, the accuracy problem, and the MCP-native way to chart query results inside an agent.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/ai-reporting/https://bonnard.dev/blog/ai-reporting/A guide to AI reporting for SaaS: the tool landscape, the trust problem, and the MCP-native way to render charts from your query results inside an agent.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/analytics-api/https://bonnard.dev/blog/analytics-api/An analytics API exposes your metrics programmatically. How to build one that serves dashboards, AI agents, and integrations from the same definitions.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/best-embedded-analytics-tools/https://bonnard.dev/blog/best-embedded-analytics-tools/Comparing the best embedded analytics tools for B2B SaaS in 2026: Metabase, Explo, Luzmo, GoodData, Looker, and the MCP-native option for AI agents.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/customer-facing-analytics-for-saas/https://bonnard.dev/blog/customer-facing-analytics-for-saas/A guide to customer-facing analytics 2026 for B2B SaaS: the options, the tradeoffs, and the MCP-native way to put interactive charts inside an AI agent.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/kpi-dashboard/https://bonnard.dev/blog/kpi-dashboard/KPI dashboards show stale numbers nobody trusts. Governed metrics through a semantic layer give every consumer the same live data, dashboards to AI agents.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/real-time-analytics/https://bonnard.dev/blog/real-time-analytics/Not every metric needs real-time data. Here's how to decide what needs sub-second freshness, what can be cached, and how pre-aggregation handles both.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/self-service-bi/https://bonnard.dev/blog/self-service-bi/Self-service BI for customers promised to free the data team. Instead it created metric chaos. The category, the tradeoffs, and where AI agent charts fit.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/what-is-a-semantic-layer/https://bonnard.dev/blog/what-is-a-semantic-layer/A semantic layer defines business metrics once so every consumer gets the same answer, including AI agents. How it works, with code examples.Thu, 19 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/what-is-agentic-semantic-layer/https://bonnard.dev/blog/what-is-agentic-semantic-layer/An agentic semantic layer is a metrics layer built for AI agents: business logic defined once, exposed via MCP or API, queried as governed definitions.Mon, 16 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/why-ai-agents-need-semantic-layer/https://bonnard.dev/blog/why-ai-agents-need-semantic-layer/Why AI agents need a semantic layer: raw SQL produces inconsistent, ungoverned results. What goes wrong without one, and how governed metrics change it.Mon, 16 Mar 2026 00:00:00 GMThttps://bonnard.dev/blog/connect-ai-agent-data-warehouse/https://bonnard.dev/blog/connect-ai-agent-data-warehouse/Connect an AI agent to your data warehouse: expose governed metrics over MCP, query without raw SQL, and chart the result in Claude or ChatGPT.Fri, 13 Mar 2026 00:00:00 GMT