Advanced PocketBase MCP Server

The Advanced PocketBase MCP Server is a fully‑featured bridge that lets AI assistants talk directly to PocketBase databases through the Model Context Protocol. It removes the friction of building custom adapters by exposing a rich set of tools, schema‑management capabilities, and real‑time data operations in a single, cloud‑ready package. For developers who rely on PocketBase as their lightweight backend, this server turns the database into a first‑class AI data source that can be queried, updated, and audited from within an assistant’s context.

At its core the server implements MCP resources that mirror PocketBase collections, records, and authentication flows. Clients can issue CRUD operations, run complex queries, and even modify the database schema on‑the‑fly—all while preserving PocketBase’s built‑in security model. The inclusion of a super‑admin authentication tool allows developers to elevate privileges safely during runtime, enabling automated migrations or bulk data imports without exposing permanent admin credentials. Diagnostics utilities such as and give instant feedback on connectivity and permission scopes, helping teams quickly resolve misconfigurations in production.

One of the standout features is the server’s new Cloudflare Workers and Durable Objects support. By deploying as a lightweight edge function, developers gain low‑latency, globally distributed access with automatic hibernation of idle sessions to keep costs down. The Durable Object implementation provides stateful MCP sessions that persist across requests, making real‑time WebSocket connections and long‑running workflows seamless. Combined with Docker support, the same codebase can run in any environment—on-premises, cloud VMs, or serverless edges—without code changes.

Real‑world use cases include building AI‑powered customer support bots that can pull ticket data, update status fields, and trigger email notifications directly from PocketBase. Another scenario is an internal analytics assistant that queries sales records, performs schema updates to add new metrics, and pushes dashboards—all through a single MCP interface. Because the server exposes PocketBase’s full API surface, developers can integrate complex business logic, such as multi‑tenant access controls or audit logging, directly into the assistant’s workflow.

In summary, the Advanced PocketBase MCP Server solves the pain of connecting AI assistants to a lightweight database by offering production‑ready, serverless deployment options, robust security tooling, and comprehensive diagnostic support. It empowers developers to create tightly integrated AI experiences that can read, write, and evolve PocketBase data with confidence and minimal overhead.