Cloudinary Analysis

Run AI-powered analysis on images including moderation, captioning, tagging, and more.

What does this entry provide?

Cloudinary Analysis is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. This catalog entry is the indexed repository cloudinary/analysis-mcp. The command is the string recorded from the source. It is not proof of a one-click install in every client. An MCP server exposes callable tools to a client. An agent skill is an instruction package. This entry is an MCP server record. 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. Review the repository push date and repository status before adding Cloudinary Analysis 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: 100/100
Install method: streamable-http
Repo: cloudinary/analysis-mcp
Repo updated: Nov 12, 2026
Seen: Nov 13, 2026

Install command

mcp add com.cloudinary/analysis-mcp https://analysis.mcp.cloudinary.com/mcp

Install method: streamable-http

The command is the string recorded from the source. It is not proof of a one-click install in every client.

Review the upstream source before running this command.

GitHub project

Quality

100

Repo stars

Repo updated

Nov 12, 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": "2026-11-12T21:27:29.606468Z",
      "publishedAt": "2026-11-12T21:27:29.606468Z",
      "statusChangedAt": "2026-11-12T21:27:29.606468Z"
    }
  },
  "server": {
    "name": "com.cloudinary/analysis-mcp",
    "icons": [
      {
        "src": "https://cloudinary-res.cloudinary.com/image/upload/v1597183771/website/cloudinary_web_favicon.png",
        "sizes": [
          "192x192"
        ],
        "mimeType": "image/png"
      }
    ],
    "title": "Cloudinary Analysis",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://analysis.mcp.cloudinary.com/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "cloudinary-cloud-name",
            "description": "Your Cloudinary cloud name. Find it in your Cloudinary Dashboard."
          },
          {
            "name": "cloudinary-api-key",
            "description": "Your Cloudinary API key. Found in Dashboard > Settings > Access Keys."
          },
          {
            "name": "cloudinary-api-secret",
            "isSecret": true,
            "description": "Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys."
          }
        ]
      }
    ],
    "version": "0.5.3",
    "packages": [
      {
        "version": "0.5.3",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@cloudinary/analysis-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "CLOUDINARY_CLOUD_NAME",
            "isRequired": true,
            "description": "Your Cloudinary cloud name. Find it in your Cloudinary Dashboard."
          },
          {
            "name": "CLOUDINARY_API_KEY",
            "isRequired": true,
            "description": "Your Cloudinary API key. Found in Dashboard > Settings > Access Keys."
          },
          {
            "name": "CLOUDINARY_API_SECRET",
            "isSecret": true,
            "isRequired": true,
            "description": "Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys."
          }
        ]
      },
      {
        "transport": {
          "type": "stdio"
        },
        "identifier": "docker.io/cloudinary/analysis-mcp:0.5.3",
        "registryType": "oci",
        "environmentVariables": [
          {
            "name": "CLOUDINARY_CLOUD_NAME",
            "isRequired": true,
            "description": "Your Cloudinary cloud name. Find it in your Cloudinary Dashboard."
          },
          {
            "name": "CLOUDINARY_API_KEY",
            "isRequired": true,
            "description": "Your Cloudinary API key. Found in Dashboard > Settings > Access Keys."
          },
          {
            "name": "CLOUDINARY_API_SECRET",
            "isSecret": true,
            "isRequired": true,
            "description": "Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/cloudinary/analysis-mcp",
      "source": "github"
    },
    "websiteUrl": "https://cloudinary.com/documentation/cloudinary_llm_mcp",
    "description": "Run AI-powered analysis on images including moderation, captioning, tagging, and more."
  }
}

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