openaso

App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews

What does this entry provide?

openaso is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. 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 openaso 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: 67/100
Install method: streamable-http
Repo: xekor/openaso-mcp
Repo updated: Jul 28, 2026

Install command

mcp add ai.openaso/openaso https://mcp.openaso.ai/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jul 28, 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.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-28T22:15:18.699321Z",
      "publishedAt": "2026-07-28T22:15:18.699321Z",
      "statusChangedAt": "2026-07-28T22:15:18.699321Z"
    }
  },
  "server": {
    "name": "ai.openaso/openaso",
    "icons": [
      {
        "src": "https://openaso.ai/icon.svg",
        "mimeType": "image/svg+xml"
      }
    ],
    "title": "openaso",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://mcp.openaso.ai/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "value": "Bearer {api_key}",
            "isSecret": true,
            "variables": {
              "api_key": {
                "isSecret": true,
                "isRequired": true,
                "description": "openaso API key from the https://openaso.ai dashboard (free tier: 500 tool calls/day)"
              }
            },
            "isRequired": true,
            "description": "Bearer auth with an openaso API key — create one free at https://openaso.ai"
          }
        ]
      }
    ],
    "version": "0.3.0",
    "repository": {
      "id": "1315469181",
      "url": "https://github.com/xekor/openaso-mcp",
      "source": "github"
    },
    "websiteUrl": "https://openaso.ai",
    "description": "App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews"
  }
}

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