Tabularis

Open-source desktop SQL client — notebooks, visual EXPLAIN, MCP server

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Tabularis is an open-source desktop database client built in Rust and Tauri: the Windows installer is about 12 MB, not 200. MySQL, PostgreSQL and SQLite are built in. Everything else comes from a registry of 18 plugin drivers — MongoDB, Redis, ClickHouse, DuckDB, Elasticsearch, DynamoDB, Google Sheets and more — each one an ordinary process speaking JSON-RPC over stdin/stdout, so a driver can be written in any language. On top of the data grid and SQL editor: notebooks for multi-query analysis, visual EXPLAIN that turns query plans into diagrams with per-node findings, SSH tunnels, Kubernetes port-forwarding, stored routines and ER diagrams. It also ships an MCP server, so Claude, Cursor and other agents can query your databases — with a read-only mode and per-operation approval gates. Credentials live in the OS keychain, connection exports are encrypted, and there is no account: everything stays on your machine. Apache-2.0, for Linux, macOS and Windows.

MCP

Tabularis is an open-source desktop SQL client with notebooks, visual EXPLAIN, and a built-in MCP server for AI agents.

for: Developers and data analysts who need a local, secure, extensible database client.
pricing: free
license: Apache-2.0

TabularisDB/tabularis 5.1k 332TypeScriptupdated 7 days ago

nightly-20260928-44a112eNightly (v0.25.1-4)7 days ago
nightly-20260924-32b8ee5Nightly (v0.25.1-3)11 days ago
v0.25.013 days ago

works withRustTauriReact 19OpenAIAnthropicOpenRouterOllamaMySQLPostgreSQLSQLiteSSHKubernetes

Key features

6 features of Tabularis

Multi-Database Support — Connect to PostgreSQL, MySQL/MariaDB, SQLite and 18+ plugin drivers via JSON-RPC.
AI Assistance — Draft, explain and iterate SQL using OpenAI, Anthropic, OpenRouter or local Ollama models.
Built-in MCP Server — Expose schemas and run queries to Claude, Cursor and other agents with read-only mode and approval gates.
Visual EXPLAIN — Turn execution plans into interactive diagrams with node-level findings and optional AI analysis.
SQL Notebooks — Combine SQL and Markdown in multi-cell workflows with inline charts and reusable variables.
SSH & Kubernetes Tunneling — Securely reach remote databases; secrets are stored in the OS keychain.

Use cases

Analyze multi-query workflows in notebooks with inline charts
Visually build complex joins and filters before generating SQL
Allow AI agents to safely query production databases via MCP
Debug performance issues using interactive Visual EXPLAIN diagrams
Manage connections to diverse databases through a plugin registry

Tabularis vs alternatives

all alternatives →

	Tabularis	Unified MCP Server	Monghoul	gridctl	BrowserGateway
Best for	MCP-native desktop SQL client	Standalone MCP server	MongoDB-only GUI	YAML-driven MCP orchestration	Cloud browser routing
Pricing	Free	Subscription	One time fee	Free	Free
DevHunt upvotes	2	29	11	20	22
Launched	Jun 2026	Jan 2026	May 2026	Aug 2026	Sep 2026

Tabularis vs Unified MCP Server: Unified MCP Server provides a central MCP endpoint but no desktop UI or multi-database client features.
Tabularis vs Monghoul: Monghoul is a MongoDB-specific GUI, whereas Tabularis supports many databases and plugins.
Tabularis vs gridctl: gridctl bundles multiple MCP servers and skills, lacking the local SQL editor and notebook environment of Tabularis.
Tabularis vs BrowserGateway: BrowserGateway routes cloud browsers; Tabularis focuses on local database interaction and AI-native tooling.

Tabularis FAQ

Is Tabularis free to use?+

Yes, Tabularis is free and open-source under the Apache-2.0 license.

What databases are supported out of the box?+

PostgreSQL, MySQL/MariaDB and SQLite are built in; additional databases are available via plugins.

How does the MCP server work with AI agents?+

The built-in Model Context Protocol server lets compatible agents inspect schemas and run queries through Tabularis, with optional read-only mode and per-operation approval.

Can I write my own database driver?+

Yes, drivers are standalone executables that communicate over JSON-RPC, and can be written in any language such as Rust, Go, Python or Node.js.

How are credentials stored?+

Credentials are kept in the operating system’s keychain and connection exports are encrypted; no external account is required.

Summarized by DevHunt from tabularis.dev · Sep 28, 2026. Details may change; check the official site.