Orphex MCP

Orphex MCP is a unified Model Context Protocol gateway that connects a digital marketing stack to the AI assistants teams already work in. It links supported advertising, analytics, commerce, subscription and app growth accounts, then brings that performance data into conversations with Claude, ChatGPT, Microsoft Copilot, Grok, Cursor, VS Code and Gemini CLI. Orphex describes itself as a connection layer between many platforms and one AI assistant, with tools to read performance and request supported changes. The product is built for data-oriented marketing teams that want to ask questions about their own account numbers and get answers from their connected sources, rather than opening yet another dashboard or export. Marketing analysis normally lives across a patchwork of systems. Ad platforms hold spend and conversions, analytics tools hold acquisition and on-site behavior, commerce platforms hold products and sales, and warehouses hold still other tables. The Orphex site frames the everyday problem as tab switching and repeated exports: teams move between multiple platforms to answer a single question, then rebuild context by hand. Orphex places the AI assistant at the start of that workflow instead of at the end of an export. The company states its aim is to move AI beyond QA and empower it to analyze integrated performance and take every action a human marketer can, such as reallocating budgets, pausing unprofitable creatives or adjusting products from a single prompt. The connection layer covers a broad set of sources grouped into Advertising, Analytics, Commerce, App growth, Data warehouse, Subscriptions and Creative. Advertising sources listed on the site include Meta, Google Ads, TikTok, LinkedIn, Pinterest, Snapchat, Reddit, Microsoft Ads, Criteo, DV360, Apple Search Ads, Amazon Ads, X Ads, OpenAI Ads, AppLovin Ads, Unity Ads, Yandex Direct, Taboola, RTB House and Akakçe. Analytics coverage includes GA4, Search Console, Tag Manager, CM360, YouTube, Facebook Page, Meta Pixel, TikTok Pixel, Microsoft Clarity, Similarweb, Context dev, Amplitude and HubSpot. Commerce lists Shopify, IKAS, Ticimax, T-Soft, Akinon, Merchant Center, Meta Catalog, TikTok Catalog, Klaviyo, Insider One, SAP Emarsys, Customer.io and D·engage, while app growth covers Adjust, AppsFlyer, Singular, Google Play, App Store Connect, AppLovin MAX, Appfigures, OneSignal, Unity LevelPlay and AdMob. RevenueCat and Adapty cover subscriptions, BigQuery supplies warehouse-backed context, and Creative includes Content Automation Creative, Higgsfield and Playablex. Orphex notes that coverage and available actions vary by platform and account permissions. Those connections bring in spend, conversions and campaign performance, and the site states that a user's own account data becomes the basis for each question. On top of the data, Orphex adds a Skill Catalog of prepared reviews, action procedures and report templates that give the assistant a method to follow. The example given is a weekly performance review: read the connected sources, compare complete periods, surface the main changes and prepare the next steps. The site also mentions creative fatigue and anomaly investigations with eligible skills, executive summaries and budget reallocation proposals with sources and guardrails. Curated guidance helps the assistant choose the next step, use the right metrics and check the evidence before drawing conclusions, and Orphex is careful to note that a report or proposal does not itself change an advertising account. Every requested change stays within the user's access. The assistant prepares the change and shows a preview, and nothing runs until the user confirms it; a workspace can also require a teammate's approval. The site illustrates this with a proposal that moves $500/day from Brand Search to Performance Max while keeping total daily budget at $3,200 unchanged, and it explicitly states that the proposal does not predict a performance improvement. Orphex also says every change is logged and protected by safety guardrails. On security, the site lists GDPR and KVKK compliance for EU and Turkish data protection law, ISO 27001 audited security processes, and SSL/TLS encryption for all platform traffic with enterprise-grade network protection. Overall, the product is presented as a seven-layer stack. Connected Platforms bring in advertising, analytics, commerce and app growth accounts. Performance Data adds spend, conversions and campaign performance from those accounts. Orphex MCP is the single connection layer that exposes tools to read performance and request supported changes. The Skill Catalog supplies prepared reviews, action procedures and report templates. Curated Guidance helps the assistant pick the next step and the right metrics. Access & Approval keeps each change inside the user's permissions with a review step. AI Assistants are where the user actually works: they ask a question, explore the answer and decide what happens next. Setup is described as taking a few minutes with a single sign-in. The stated benefits follow that structure. Users start with a question instead of another export, compare the same metric across two complete periods while keeping source, dates and numbers in view, drill into the campaign behind a change, and turn a finding into a focused review before acting. Because the assistant answers from connected account data, the conversation keeps the definition of each metric visible and flags missing data. Routine work gets a head start from curated skills, so teams keep the method and skip the blank page. Orphex also states that users do not need to replace their dashboards: they can investigate a question in conversation and follow the evidence back to existing tools for a deeper view. The site's documented use cases read as concrete workflows. For advertising performance and actions, teams compare campaign spend, conversions and efficiency across complete periods, drill into ad, keyword and creative reporting, and review supported budget or status changes before approval. For analytics and customer journeys, they put GA4 acquisition and Search Console organic performance in the same discussion while keeping each source's metric definitions visible. For commerce and product performance, they connect marketing questions to products and sales in Shopify, IKAS, Ticimax or T-Soft and prepare a product performance summary. For subscriptions and app growth, they read RevenueCat project overviews, Adapty subscription charts and attribution data from Adjust and AppsFlyer. For warehouse-backed context, they bring supported BigQuery datasets into the same marketing review. And with curated skills, they run weekly performance reports, executive summaries, creative fatigue checks and anomaly investigations. Orphex targets data-oriented marketing teams, including teams managing $30M+ in monthly ad spend, and lists brands such as Paşabahçe, Arby's, Vestel, Burger King, Bilyoner, Popeyes, Karaca, Sbarro, Beymen, Usta, Getir, DeFacto, Mavi, TurkNet, SneaksUp, TatilBudur, Avansas, Altınyıldız, QNB, Edenred and Analytica House as users. Pricing runs from a Free plan at $0 with 250 reads per month, 50 writes per month, one user, one workspace, three account connections and all data sources; a Read plan at $33.32/month billed yearly at $399.90 with 2,000 reads, ten users, three workspaces and 25 connections; and an Action plan at $124.99/month billed yearly at $1,499.90 with 2,000 reads, 500 writes, ten users, three workspaces and 100 connections. Enterprise offers custom limits, contract billing and onboarding support. Yearly billing includes two months free, and every plan works with Claude, ChatGPT, Microsoft Copilot, Grok and Cursor. In short, Orphex MCP consolidates a fragmented marketing stack into one connection layer so an AI assistant can answer questions from real account data and prepare controlled changes for human approval. The value proposition is continuity: the same conversation moves from signal to evidence to a reviewed next step, while permissions, approvals, logging and compliance keep the marketer in control.