Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.
Enables managing ad accounts, campaigns, ad groups, keywords, ads and performance reporting through Apple's advertising platform API, with writes disabled by default, paused-by-default creation, and local daily-budget and bid ceilings. It offers 34 tools plus a raw-request escape hatch, with reporting shaped to fit context windows.
Enables management of iOS/macOS apps, TestFlight builds, app metadata, analytics, and more through natural language interactions with Apple Store Connect API.
Enables MCP clients to read App Store campaign and performance data and to prepare preview-first, opt-in changes for explicitly allowlisted ad accounts.
Gives MCP clients read-only access to every GET endpoint of Apple's Campaign Management v5 and Apple Ads Platform v1 APIs across multiple ad accounts, over stdio or Streamable HTTP. It exposes one tool per endpoint with per-account OAuth handling, pagination, and structured errors, while excluding all mutation and POST-only reporting endpoints.
An MCP server for the Apple Ads Platform API that exposes 99 operations across all resources through four token-efficient tools. It enables AI agents to read and write campaigns, ad groups, keywords, creatives, budgets, reports, and more.
Enables read-only analysis of Apple Ads Platform data, allowing AI assistants to query campaign structure, keywords, search terms, and performance reports without modifying anything.
Enables searching an offline catalog of Apple Ads Platform API documentation and issuing authenticated read and write calls to manage App Store and Apple Maps campaigns, reports, keywords, budgets, and recommendations. Read and write are split into separate tools, with read-only mode, pagination merging, and large-report file output.
Enables users to find podcasts by topic or Apple Podcasts/RSS links and retrieve host and owner contact details, episode cadence, recent guests, associated companies, and contact or guest-pitch pages, with one result row per show.
Enables AI assistants to issue and manage Apple Wallet and Google Wallet passes, including template creation, pass issuance, notifications, stamping, and loyalty management.
Instagram influencer discovery for AI agents. One tool (search_leads) with filters for category, country, city, keyword, gender, follower range; returns username, bio, public business email (where available), verified/business flags. Pay-per-call in USDC on Base or Solana via x402 — no API keys. Free demo mode returns 3 preview results. Live at https://socialintel.dev/mcp.
Generates blog and social media images using Google's Gemini AI with pre-configured platform presets for Ghost, Medium, Instagram, Twitter, LinkedIn, YouTube, and more.
Mogut — open-source, read-only MCP server for Apple App Store ASO and growth intelligence: keyword research, competitor analysis, review mining, pricing, localization, and reports.
Enables MCP-capable agents to manage Apple App Store Connect listings by validating repository-based metadata, planning changes, and applying approved updates through Apple's documented APIs.
x402 Ads lets AI agents buy and verify ad placements with per-request USDC payments. Agents can discover inventory, submit campaign context, receive structured placement options, and pay through x402 without API keys or accounts. Built for autonomous promotion, attribution, and pay-per-action agent commerce.
Connects Google Search Console to your page content and ranks SEO opportunities by estimated revenue, helping content creators prioritize fixes that pay most.
Enables AI agents to query SensorTower's APIs for mobile app market intelligence, including download and revenue estimates, store leaderboards, App Store featuring and ASO keywords, reviews, Apple Search Ads, and audience insights across roughly 76 endpoints. It normalises the API's unit, shape, and error quirks so results arrive clean, capped for model context, and with actionable error hints.