Statey

Chat memory evaporates. Agents can create a ticket in one session and have no idea it exists in the next. Statey solves this by acting as a persistent, schema-flexible structured database that any MCP client can read and write. The core workflow is conversational: an agent describes what it wants to track, Statey builds the collection and schema, and from that point every create, update, or query travels through MCP tool calls. Collections, fields, and statuses can be reshaped at any time — the vendor states no migrations or schema files are required.

The defining design choice is that Statey ships no interface at all. Where other MCP-connected tools are constrained by the screens their app exposes, Statey treats the LLM as the rendering layer. The agent draws a board, a table, or a single answer from the tool result on demand, while the underlying record stays versioned and attributed. Every mutation carries full provenance — which human or agent wrote it, and in which transaction — so multi-actor workspaces where agents and people write concurrently do not produce silent conflicts.

Statey fits best when you are connecting multiple MCP clients — Claude Desktop, Claude Code, ChatGPT, Cursor, Codex — to a single source of truth, and you want agents to operate on that data without you building or hosting a backend. The ceiling appears at automation: reactive triggers that fire an agent the moment a record changes are described on the vendor page as coming soon. Teams whose workflows depend on event-driven agent dispatch cannot rely on that loop being closed and are either polling manually or holding off on those use cases entirely. Self-hosting is not available, so teams with data-residency requirements face an immediate blocker.