Mandala Computer

Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks.

What does this entry provide?

Mandala Computer is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Mandala Computer to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: streamable-http
Repo: mandalacomputer/mcp
Repo updated: Oct 24, 2026

Install command

mcp add io.github.mandalacomputer/mcp https://app.mandala.computer/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 24, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-24T16:28:33.574601Z",
      "publishedAt": "2026-10-24T16:28:33.574601Z",
      "statusChangedAt": "2026-10-24T16:28:33.574601Z"
    }
  },
  "server": {
    "name": "io.github.mandalacomputer/mcp",
    "title": "Mandala Computer",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://app.mandala.computer/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "0.18.0",
    "packages": [
      {
        "version": "0.18.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "mandala-computer-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "MANDALA_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "API key from Settings → Credentials → API keys. Optional after `mandala login`, which saves one."
          },
          {
            "name": "MANDALA_MODEL_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Optional Anthropic or OpenAI key. Enables run_agent_chat, and makes run_agent and start_agent_run bill this key instead of the account's AI credits."
          },
          {
            "name": "MANDALA_PROFILE",
            "format": "string",
            "description": "Optional saved profile from `mandala login --profile`; used when MANDALA_API_KEY is not set."
          },
          {
            "name": "MANDALA_BASE_URL",
            "format": "string",
            "description": "Optional API base URL. Defaults to https://app.mandala.computer/api/v1."
          },
          {
            "name": "MANDALA_COMPUTER_ID",
            "format": "string",
            "description": "Optional computer id to bind at startup, so use_computer is not needed."
          },
          {
            "name": "MANDALA_NO_LIFECYCLE",
            "format": "string",
            "description": "Optional: 1, true, yes or on withholds the tools that create, clone or delete computers and snapshots."
          },
          {
            "name": "MANDALA_READ_ONLY",
            "format": "string",
            "description": "Optional: 1, true, yes or on keeps only read-only tools."
          },
          {
            "name": "MANDALA_TAGS",
            "format": "string",
            "description": "Optional comma-separated tool tags to expose (for example computers,input); empty means every tool."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/mandalacomputer/mcp",
      "source": "github"
    },
    "websiteUrl": "https://mandala.computer",
    "description": "Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks."
  }
}

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