Updates, tutorials, and insights from the Faucet team.
IBM closed its $11B Confluent acquisition to make real-time data the engine of enterprise AI agents. Oracle rebuilt its database for agents. Google shipped 42-database MCP tooling. Databricks reports 327% multi-agent growth. Big tech is spending billions solving a problem you can fix with a single binary.
Read moreCodenotary just launched AgentMon, Microsoft published an AI observability framework, and Oracle baked agent memory into its database engine. The industry is waking up to a hard truth: when AI agents autonomously query your databases, traditional monitoring is blind. Here's why your API layer is the missing observability plane.
Read morePinterest's production MCP ecosystem handles 66,000 tool invocations per month across 844 engineers. While 78% of enterprises have AI agent pilots and only 14% reach production, Pinterest cracked the code with domain-specific MCP servers, a central registry, and a database-first architecture. Here's what their approach means for your data layer.
Read moreThe MCP Dev Summit kicks off today in NYC with 95 sessions and speakers from Anthropic, Google, and Microsoft. The ecosystem has exploded to 10,000+ servers and 97 million monthly SDK downloads. But for database access, more servers means more fragmentation — and that's a problem worth solving.
Read moreOracle's Deep Data Security, Okta's agent identity management, and Microsoft's Sentinel expansion all launched in March 2026. The industry is converging on one idea: AI agents are non-human identities that need database-level access control. Here's what this means for your API layer.
Read moreMCP hit 97 million monthly SDK downloads. Google's A2A protocol just landed at Adobe, SAP, Microsoft, and S&P Global. Together they form a complete agent communication stack — and your database sits right at the intersection. Here's what that means for how you expose data.
Read moreCursor crossed one million paying developers. Claude Code hit $2.5B ARR. Google made Gemini Code Assist free. March 2026 saw a wave of AI coding tools go mainstream — but they all hit the same wall when agents need production data. REST APIs are the universal adapter.
Read moreSix competing agent frameworks, 120+ tools, and a 1,445% surge in enterprise interest. But the real battle was never about which framework wins — it's about how agents access your data. MCP just settled that question.
Read morePerplexity's CTO just said MCP tool descriptions consume 40-50% of available context windows. With 97 million monthly SDK downloads, MCP adoption is exploding — but bloated tool definitions are a real production problem. Here's how lean database tooling fixes it.
Read more75% of developers lose 6+ hours weekly to tool sprawl. Platform engineering fixes CI and deployments, but ignores databases — the most common source of developer cognitive load. Here's how self-service REST APIs solve it.
Read moreNew research shows 88% of organizations report confirmed or suspected AI agent security incidents. The root cause: uncontrolled database access. Here's how to fix it with governed API layers.
Read moreThe MCP 2025-11-25 spec added tool annotations — readOnlyHint, destructiveHint, idempotentHint — that let AI agents reason about database operation safety before executing. Here's how they work and why Faucet implements them correctly.
Read moreMIT Technology Review found that nearly two-thirds of companies experiment with AI agents, but only 10% scale to production. The bottleneck isn't the model — it's the data infrastructure layer.
Read more46% of enterprises cite integration with existing systems as their top AI agent challenge. Here's why the bottleneck is database access, not model capability, and how to fix it in under 60 seconds.
Read more89% of developers use AI tools, but only 24% design APIs with AI agents in mind. Here's what agents actually need from APIs and how auto-generated REST APIs close the gap.
Read moreWith 97 million monthly MCP SDK downloads, AI agents are connecting to enterprise databases faster than security teams can govern them. RBAC-first tools like Faucet close the gap.
Read moreWe ran millions of MCP tool calls against PostgreSQL, MySQL, SQL Server, and SQLite and learned that indexing strategy matters 9-74x more than database choice. MySQL's defaults are already optimized and MCP protocol overhead is sub-millisecond.
Read moreFaucet v0.1.7 adds full Oracle Database support (12c through 26ai) using a pure-Go driver. No Oracle Instant Client required. Connect Oracle alongside PostgreSQL, MySQL, SQL Server, SQLite, and Snowflake with a single Faucet binary.
Read moreFaucet v0.1.6 introduces schema contract locking, a system that prevents database schema changes from silently breaking your auto-generated REST API. Lock your API contract, detect drift, and promote changes on your terms.
Read moreAn in-depth comparison of Faucet and PostgREST — two open-source tools that turn SQL databases into REST APIs. See how they compare on database support, auth, admin UI, and AI integration.
Read moreA detailed comparison of Faucet and Supabase — two open-source tools for building APIs from databases. Compare database support, architecture, auth, pricing, and when each tool is the right choice.
Read more28K lines of Go, 849 tests, zero CGO. Here's exactly how Faucet introspects your schema at runtime and serves a production-grade REST API without code generation.
Read moreFaucet v0.1.5 introduces guided first-run setup, batch transaction modes, background server mode, and improved telemetry controls. Download now via Homebrew, Docker Hub, or GitHub Releases.
Read moreFaucet is an open-source, single-binary server that generates secure REST APIs from any SQL database. Here's why we built it and how it works.
Read more