DataMCPDataMCP

Changelog

Latest updates, improvements, and fixes.

v1.1.0

OpenAPI Connections: turn any REST API into MCP tools

DataMCP is no longer just for databases. Point us at an OpenAPI (Swagger) spec and every endpoint becomes a tool your AI can actually call, with auth injected for you and access scoped by HTTP method.

AddedOpenAPI connections: paste an OpenAPI 3.x spec URL and DataMCP validates it, counts the endpoints, and exposes them to your AI tools over MCP.
AddedWorks with documentation pages too: if your URL is a Redoc or Swagger UI page rather than raw JSON, we extract the embedded spec automatically. No separate JSON endpoint required.
Addedcall_endpoint tool: your AI can make live calls to the API (path params, query strings, and JSON bodies) and get the real response back.
AddedAutomatic auth injection: set an API key or Bearer token once on the connection and DataMCP attaches it to every call. We read the API's own securitySchemes and pre-fill the header name for you.
AddedAccess presets for API links: Full Access (any endpoint) or Read Only (GET/HEAD only), so an AI client can read from a production API without being able to create, modify, or delete.
AddedIntrospection tools: list_api_endpoints, get_endpoint_details, and get_api_schema let the AI discover what the API offers before calling it.
v1.0.0

In-App Chat

Chat with your database directly in DataMCP. No AI tool, no IDE, no MCP client needed. Ask in plain English, get answers, and export results from the dashboard.

AddedIn-app chat: query any connected database in plain English, right from the dashboard. Answers come as tables, charts, KPIs, or prose depending on what makes sense for your question.
AddedThird-party MCP connections in chat: attach Stripe, Linear, Notion, or any MCP server to a conversation for cross-product queries without leaving the dashboard.
AddedFile attachments: drop an image or PDF via drag-and-drop, paste from clipboard, or use the paperclip button. The AI sees your screenshot or reads your document as context.
AddedData export: ask the AI to export any result set to CSV or PDF. PDFs auto-switch to landscape for wide tables with dynamic column widths.
v0.9.3

Live Activity Indicator

See at a glance how many AI tools and teammates are actually using each connection in real time.

AddedActive clients badge on every connection card — shows how many unique AI tools or users ran a query in the last 15 minutes
AddedHover the badge for a breakdown: what counts as a "client", the rolling window, and the timestamp of the most recent query
ImprovedActivity data lives in Redis, so the counter survives backend restarts and stays consistent across replicas
v0.9.2

Onboarding Polish & Email Preferences

A smoother first-run experience and fine-grained control over the emails you get from us.

AddedEmail preferences in Settings — toggle product update emails on or off anytime
AddedOpt-in checkbox on the last onboarding step, so new users explicitly choose whether they want to hear about new features
FixedOnboarding flow sometimes skipped the final welcome step and dropped users straight into the dashboard
FixedRefreshing the page during onboarding occasionally brought users back to step 1 even after they had completed the survey
v0.9.1

Connection Error Handling

When your database goes down, DataMCP now tells you exactly what's wrong and how to fix it — with one-click recovery.

AddedReconnect button for connections in error state — one click re-tests credentials and brings MCP links back online
AddedReal PostgreSQL error messages shown directly on the connection card, so you know exactly what's wrong
AddedEmail alerts to org owners and admins when a connection goes down, with troubleshooting steps
AddedTroubleshooting guide in docs covering the 6 most common connection errors
ImprovedCloud database connections (AWS RDS, Heroku, Supabase) are no longer incorrectly flagged as unreachable due to SSL handshake issues
ImprovedConnection action menu now adapts to state — Reconnect when in error, Pause/Resume otherwise
v0.9.0

AI Schema Descriptions

Your AI tools now understand what your tables and columns actually mean — not just their names and types.

AddedAI-generated descriptions for every table and column, served to your AI tools through get_schema
AddedReview and edit generated descriptions in the dashboard before they reach your AI
Addedresync_schema MCP tool — your AI can re-extract the schema when it detects changes
AddedSchema change history — see diffs between schema versions over time
AddedNew connection wizard with individual fields (Host, Port, Database, User, Password) and SSL mode selector
ImprovedQueries are now up to 10× faster thanks to persistent connection pooling
ImprovedVerified TLS certificates for AWS RDS, Supabase, Google Cloud SQL, Azure, Neon, and Aiven out of the box