Roadmap
We're building the layer between your data and AI - starting with external tools, moving to in-dashboard chat, then private networks.
Q2 2026
PostgreSQL MCP server
DoneCore MCP server with schema access, SQL queries, and fine-grained permissions. Works with Cursor, Claude, VS Code, Windsurf, and any MCP client.
AI schema descriptions
DoneAuto-generated table and column descriptions so AI tools understand your data structure without extra prompting.
Connection pooling
DonePersistent connection pools for fast, reliable query execution across concurrent AI sessions.
ChatGPT integration
DoneNative OAuth connection for ChatGPT - query your PostgreSQL database in plain English directly from chat, no SQL required.
Q3 2026
In-dashboard chat
PlannedChat with your database directly inside DataMCP - no external AI tool needed. The fastest way to go from connection string to your first answer.
DataMCP Agent
PlannedA lightweight agent that runs inside your private VPC and connects outbound to DataMCP. Full product experience with zero inbound firewall changes - no self-hosting required.
Column-level masking
PlannedMask PII columns (email, phone, SSN) in query results per MCP link. Ship AI features without exposing sensitive data to external models.
MySQL support
PlannedConnect MySQL databases with the same permission layer, audit trail, and MCP tools as PostgreSQL.
Q4 2026
SSO / SAML
ExploringEnterprise single sign-on for teams using Okta, Azure AD, or Google Workspace.
Multi-database queries
ExploringJoin and query data across multiple connected databases in a single MCP call.
Audit export
ExploringExport query logs as structured reports for SOC 2, HIPAA, and internal compliance audits.
2027
Self-hosted edition
ExploringFull on-premise deployment for air-gapped environments and teams with strict data residency requirements.