MCP serverSafeDatabase & backendSome setup

GoNavi

This high-performance, cross-platform database client is MCP-ready, enabling AI agents to interact with various data sources with native speed.

High-performance multi-data-source database client — ~30MB, AI & MCP ready, zero Electron bloat. | 高性能多数据源数据库客户端：约 30MB，AI 与 MCP 就绪，告别 Electron 膨胀。

2.1k stars222License: Apache-2.0Updated 12 days ago0 opens

See it in action

From the author's READMEGoNavi SQL editor with result grid and database object tree

1/3

From the author's README Syngnat ·Source

What you can do with it

Draft SQL queries with AI assistance.
Explore database schemas through an AI agent.
Manage data across SQL, NoSQL, and message queue systems via agent commands.

Safety check

Safe

No risky patterns found in the files we scanned.

Automated scan of the repo files. Always review code you run.

From the README

GoNavi

Navigate every data source — native speed, agent-ready, zero Electron bloat.

A high-performance cross-platform database client built with Wails (Go) + React. Desktop-first. MCP-ready. ~20–26MB class installers.

Language: English · 简体中文 · 🌐 Website · ⬇ Download · ⚡ Quick Start · ✨ Features · 🤖 MCP

Why GoNavi?

Most database GUIs are Electron shells with megabytes of tax. GoNavi takes a different path — and “lightweight” only makes sense if you separate three numbers:

Number	What it means	GoNavi (v0.9.8)
Installer size	What you download	~20–26 MB class (Win / macOS / Linux release assets)
Steady-state RSS	What RAM the running UI holds	Linux WebKit build, idle empty workbench: main ≈ 429 MB; with WebKit helpers ≈ 765 MB (method below)
UI stack	Chromium tax or not	Go + system WebView (Wails) — not Electron

	Typical Electron client	GoNavi
Runtime	Chromium + Node	Go + native WebView
Installer	Hundreds of MB common	~20–26 MB class
Startup	Heavy	Fast
Memory claim	Often mixed with installer size	Measure RSS separately (see note)
AI / Agents	Bolt-on or absent	First-class MCP + multi-provider AI (draft SQL; GUI still owns schema / edits / EXPLAIN)
Data sources	Mostly RDBMS	SQL · Cache · Vector · MQ · Search · Time-series · Domestic DBs

Installer MB ≠ RAM. The RSS figures above are one Linux cloud run of the v0.9.8 WebKit41 build (empty workbench, no DB connections, remote display, ~30–40 s steady). Do not compare them to installer size, or to unverified “native ~80 MB” marketing. Windows / macOS laptop numbers may differ — treat them as a labeled sample, not a leaderboard score.

One cockpit for MySQL, Postgres, Redis, Kafka, Milvus, OceanBase, ClickHouse…
Query, edit, audit, sync — and hand structured context to coding agents without leaking passwords off-host.

At a Glance

┌──────────────────────────────────────────────────────────────────────┐
│  GoNavi Workbench                                                    │
│  ┌─────────────┐  ┌──────────────────┐  ┌─────────────────────────┐  │
│  │ Connections │  │ Monaco SQL + AI  │  │ Virtualized DataGrid    │  │
│  │ SSH / Proxy │  │ Schema context   │  │ Batch edit · Export     │  │
│  │ Drivers     │  │ Slash commands   │  │ Txn submit / rollback   │  │
│  └─────────────┘  └────────┬─────────┘  └─────────────────────────┘  │
│                            │                                         │
│              ┌─────────────▼─────────────┐                           │
│              │  Go core · Audit · Sync   │                           │
│              │  MCP HTTP · Web Server    │                           │
│              └───────────────────────────┘                           │
└──────────────────────────────────────────────────────────────────────┘

Product screenshots

Each image is a full GoNavi application window (1440×900) captured from the latest dev build, scaled proportionally for README display.

  <b>Workbench</b> — connections, saved queries, quick actions


  
  <b>SQL editor</b> — highlighting, result grid, object tree




  
  <b>AI assistant</b> — schema-aware chat, insert / run / preview generated SQL


  
  <b>AI settings</b> — built-in tools and recommended inspection flows




  
  <b>New connection</b> — searchable, categorized data-source picker


  
  <b>SQL execution history</b> — filter, inspect, refill into the editor




  
  <b>SQL audit center</b> — desensitized SQL evidence across connections


  
  <b>Settings</b> — built-in themes, fonts, workspace, and more

Sample data from a local lab database · connection addresses, keys, and provider configuration are not shown

💖 Sponsors

Want to sponsor GoNavi? We welcome sponsorships and partnerships that help sustain its open-source development. Contact the maintainer on WeChat: ygf1140302783 (note “GoNavi”) to start a conversation.

  <b>APISmart</b>
  Unified AI model API · OpenAI-compatible


  
    
  
  <b>HuaLongAI</b>
  AI API Gateway · multi-model routing · domestic high-speed endpoint

Special thanks to APISmart and HuaLongAI for sponsoring GoNavi open-source development.

Sponsor	What they offer	Why it fits GoNavi
APISmart	APISmart provides unified access to leading AI models through a single API. Developers can connect to LLM, image, and video models using one API key and an OpenAI-compatible interface. This eliminates the need to manage multiple providers separately. Intelligent routing and automatic failover help improve reliability, while centralized billing makes usage easier to manage. With APISmart, developers can build and scale AI applications faster through one streamlined platform.	Lets developers and agent workflows use multiple AI capabilities without separately integrating each provider.
HuaLongAI	HuaLongAI is a premium model API relay provider for power AI developers, focused on official direct connectivity. It primarily offers Codex-series models supplied directly from official sources, with no substitutions or dilution, and invites verification. Billing is transparent, with token-level itemized records available for review. It supports enterprise-grade high concurrency and provides enterprise customers with a professional m

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