Markifact - Ads & Analytics

AI marketing agent for Google Ads, Meta, GA4, TikTok, LinkedIn, Shopify, HubSpot and more.

What does this entry provide?

Markifact - Ads & Analytics 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 Markifact - Ads & Analytics 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: markifact/markifact-mcp
Repo updated: Sep 28, 2026

Install command

mcp add com.markifact/mcp https://api.markifact.com/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 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.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-09-28T05:32:04.620068Z",
      "publishedAt": "2026-09-28T05:32:04.620068Z",
      "statusChangedAt": "2026-09-28T05:32:04.620068Z"
    }
  },
  "server": {
    "name": "com.markifact/mcp",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "tags": [
          "google-ads",
          "meta-ads",
          "ga4",
          "tiktok-ads",
          "linkedin-ads",
          "shopify",
          "hubspot",
          "klaviyo",
          "pmax"
        ],
        "license": "MIT",
        "categories": [
          "marketing",
          "advertising",
          "analytics",
          "ecommerce",
          "crm"
        ],
        "authentication": {
          "flow": "authorization_code",
          "type": "oauth2",
          "pkceRequired": true,
          "protectedResourceMetadataUrl": "https://api.markifact.com/.well-known/oauth-protected-resource"
        },
        "supportContact": "contact@markifact.com",
        "privacyPolicyUrl": "https://www.markifact.com/privacy-policy",
        "termsOfServiceUrl": "https://www.markifact.com/terms-conditions"
      }
    },
    "title": "Markifact - Ads & Analytics",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.markifact.com/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "1.0.6",
    "repository": {
      "url": "https://github.com/markifact/markifact-mcp",
      "source": "github"
    },
    "websiteUrl": "https://markifact.com",
    "description": "AI marketing agent for Google Ads, Meta, GA4, TikTok, LinkedIn, Shopify, HubSpot and more."
  }
}

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