Kvery

Kvery

Kvery is an SQL workspace that turns a written query into live tables, charts, REST endpoints, and shareable dashboards without you writing backend code. You connect MySQL, PostgreSQL, SQL Server, or MariaDB, write or generate SQL, and the platform builds the data views and APIs around that query in minutes instead of a multi-week sprint.

Most SQL clients stop at query results. Kvery ships the query as a product surface: auto-generated REST routes, drag-and-drop dashboards, scheduled runs with email or webhook delivery, and a built-in Model Context Protocol server so Claude, Cursor, or n8n can search and execute your saved queries with scoped tokens. That combination targets teams who want SQL-first delivery rather than a separate BI suite or hand-built API layer.

Developers, data analysts, and small product teams use Kvery to prototype internal tools, client reporting, and ops dashboards. Role-based workspaces, AES-256 encrypted connections, and native iOS and Android apps make it workable for production data when you need mobile access or tight permission boundaries.

Top Features:
  1. Free plan includes 3 saved SQL queries with full API and dashboard generation

  2. Natural language prompts convert to SQL inside the multi-tab query editor

  3. Built-in MCP server exposes six tools for listing, searching, and executing queries

  4. Team plan supports 100 queries, 10 users, and 3 editors at $1499 per year

  5. Schedule queries with CRON syntax and deliver results via email or webhooks

  6. Connect MySQL, PostgreSQL, SQL Server, and MariaDB over direct or SSH tunnels

  7. Native iOS and Android apps save dashboards with auto-refresh and deep-link sharing

Pros:
  1. Ships REST APIs and dashboards from the same SQL query without custom backend work

  2. Built-in MCP server lets AI agents execute saved queries with scoped tokens

  3. Free tier includes full feature set capped at 3 queries, useful for evaluation

  4. Supports MySQL, PostgreSQL, SQL Server, and MariaDB with SSH tunnel option

  5. Native mobile apps mirror dashboards with auto-refresh and sharing

Cons:
  1. Annual paid plans start at $899, which is steep for solo developers beyond the free tier

  2. Free plan limits you to 3 saved queries, so small teams hit the cap quickly

  3. Requires basic SQL comfort for advanced editing even with natural language generation

  4. No Exa-verified traffic or funding data; company details only on legal pages

FAQs:

Is Kvery free to use?

Yes. Kvery offers a free forever plan with 3 SQL queries, 1 user, and 1 editor, including AI SQL generation, API creation, dashboards, and charts. Paid annual plans add more queries and seats.

Which databases does Kvery support?

Kvery connects to MySQL, PostgreSQL, Microsoft SQL Server, and MariaDB. Connections can use direct access or secure SSH tunnels, with credentials stored using AES-256 encryption.

Does Kvery generate REST APIs from SQL?

Yes. Kvery auto-builds secure REST endpoints from saved SQL queries with documentation and authentication. The same MCP or API token can call those endpoints from curl, Postman, or CI pipelines.

Can AI agents run queries through Kvery?

Yes. Kvery includes a built-in MCP server at app.kvery.io/mcp. Scoped bearer tokens let Claude, Cursor, n8n, or custom agents list, search, inspect, and execute queries within your group permissions.

What does Kvery Team plan cost?

Kvery Team is $1499 per year on the annual billing option. It includes 100 SQL queries, 10 users, 3 editors, priority support, scheduling, webhooks, and every core feature on the free tier.

Does Kvery have a mobile app?

Yes. Kvery ships native iOS and Android apps that open saved dashboards, support pull-to-refresh and auto-refresh intervals, and share reports via deep links without needing a laptop.

Category:

Pricing:

Freemium

Tags:

REST API Generator
Dashboard Builder
Natural Language SQL
MCP Integration
Scheduled Queries
Multi-Database Connector
Team Collaboration
SQL Editor

Tech used:

Next.js
Cloudflare
Google Cloud
Google Analytics
Google Tag Manager
Google Fonts
Python
Ruby
Webpack
Tailwind CSS

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