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Mirage

by strukto-ai · strukto-ai/mirage

InstallableMCP Servercopy into placefresh

The World's First Unified Virtual Filesystem For AI Agents

Install Mirage

Not a bundle: wire it through the official mcp-client bridge with a single config row.

This is an MCP server, not a DSH bundle. It is wired in through the official @deepseek-ai/dsh-mcp-client bridge: one plugin row in your config, pointing at either a stdio command or an http endpoint. Its tools then appear to the agent as mcp__mirage__<tool>, the same naming Claude Code and Codex use.

One config row for the mcp-client bridge — fill the command or URL from this repo's README

{
  "name": "@deepseek-ai/dsh-mcp-client",
  "config": {
    "server": "mirage",
    "command": "<stdio command from the README>",
    "url": "<or an http endpoint, if the server is remote>"
  }
}

Placeholders are placeholders

The command and URL above are not stored in our index — no MCP server exposes them in a machine-readable way. Take them from the repository README; everything else in the row is fixed by the bridge.

Prerequisites

API key
Not required.
Network access
Not required at runtime.
Language
TypeScript

Install check

Every field the verdict was derived from, so you can re-derive it yourself

Field checkedResultWeightWhat the spec says about it
lifecycleScriptspassinfono install-time scripts
entityTypepassinfomcp-server is not installed via `dsh plugin add`
Verdict reason
mcp-server uses its own install path, so bundle checks do not apply
package.json read
integ/package.json
Rules applied from
docs/user/develop/basic/publish.md
Checked at
2026-08-15

From the README

Excerpt as published by the author, plain text, unedited

Mirage is **a Unified Virtual File System for AI Agents**: it mounts services and data sources like S3, Google Drive, Slack, Gmail, and Redis side-by-side as one filesystem. Any LLM that already knows bash can read, grep, and pipe across every backend out of the box, with zero new vocabulary.

Topics

GitHub topics on this repository

Related entries

Nearest entries by similarity — this one landed in no themed cluster