gridex vs mirage
Native database IDE for Postgres, MySQL, SQLite, Redis, MongoDB, SQL Server and ClickHouse, with a built-in MCP server — 13 tools, 3-tier permissions, audit trail — and schema-aware AI chat. — versus — Unified virtual filesystem for AI agents — mounts S3, Slack, Gmail, Postgres and ~50 backends as one tree so any bash-speaking LLM can grep and pipe across services. Snapshotable, embeddable.
Two ways to give an agent database access. Mirage mounts Postgres and ~50 other backends as a filesystem so any bash-speaking agent can grep it; Gridex exposes typed, permissioned MCP tools with a human GUI sitting beside the same connection.
| gridex | mirage | |
|---|---|---|
| Stars | 1.3k | 3.6k |
| Forks | 103 | 261 |
| Language | C++ | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | today | today |
| Topics | data, local, coding | agents, coding |
| Curated connections | 4 | 7 |
gridex — the curator's take
The reason it belongs in an agent catalog is the MCP server, not the grid: it is a permissioned, audited way to let Claude Desktop or Cursor touch a real database using credentials that never leave the OS keychain, instead of pasting a connection string into an agent's config. Judge it as a young app — v0.0.x, and 'no Electron' means three separate native codebases, so feature parity drifts (ClickHouse is macOS-only today). If you want agent access and no GUI, a standalone database MCP server is lighter; if you want a mature GUI and no agents, the incumbents are more complete.
mirage — the curator's take
One interface instead of N SDKs and M MCP servers: mount S3, Slack, Gmail, GitHub, Postgres, Redis (~50 backends) side-by-side as one filesystem, and any LLM that already knows bash can cat, grep and pipe across all of them with zero new tool vocabulary — plus per-resource command overrides (cat a Parquet as JSON rows), snapshotable/portable workspaces, and in-process Python/TS SDKs with OpenAI Agents/LangChain/Pydantic AI adapters and a CLI+daemon for Claude Code/Codex. Reach for it when your agent touches many external systems and tool-schema sprawl is eating your context window. NOT for a single data source (just use its SDK), heavy binary/streaming workloads, or Windows — FUSE mounts need macOS/Linux.