Product Lead at Ooty. Writes about MCP architecture, security, and developer tooling.
20 articles published
Ooty connects your marketing platforms to your AI assistant. Ask ChatGPT, Claude, or Gemini a question and get an answer pulled from Google Analytics, Search Console, Google Ads, Meta, YouTube, Amazon, HubSpot, and more. No exports, no dashboards, no tab switc
The data confirms what most sales operations teams suspect but rarely quantify: B2B contact data decays at 2.1% per month, resulting in approximately 70% annual degradation (CRM Data Quality Statistics, 2024). That means a CRM you cleaned in January will be ma
Most marketing teams use AI the same way: copy data from one dashboard, paste it into ChatGPT, Gemini, or Claude, ask a question, and hope the answer is useful. The AI does its best with a screenshot or a CSV export, but it is working with a snapshot, not your
Most marketers use ChatGPT to draft blog posts and social captions. That is the least interesting thing it can do. Content creation is the top AI use case at 35% (HubSpot, 2025), which means the majority of marketers are using ChatGPT the same way, for the sam
When you connect ChatGPT, Gemini, or Claude to your Google Analytics account through Ooty, your Google password never touches our systems. Neither does your Meta login, your Amazon credentials, or any other platform password. We use OAuth, the same authenticat
The difference between the Model Context Protocol and a traditional API comes down to one question: who orchestrates the work? With an API, your code controls every step. With MCP, the AI decides what to call and when. That single distinction determines which
The headline number is impressive: 81% of sales teams are either experimenting with or have deployed AI (Salesforce, 2025). But look one layer deeper and the picture gets more complicated. Only 45% of those teams use AI on a weekly basis (Salesforce, 2025). Th
"What is the ROI on that blog post?" It is the question every content marketer dreads. Not because the answer is bad, but because the answer is complicated. Content marketing does not work like paid ads where you spend $1,000 and get $3,000 back next Tuesday.
Workflow automation is the third most common AI use case in marketing, at 20% of all AI activity (HubSpot, 2025). But most of what passes for "AI marketing automation" in practice is the same email drip sequences and social media schedulers that have existed f
MCP is moving from experimental to production fast. AI assistants connected to live APIs, databases, and third-party services are no longer a proof-of-concept. They're running in companies of all sizes, handling real data, right now. The security model for MCP
You keep seeing "MCP" in AI threads and newsletters. Everyone talks about it like you already know what it means. Here is the short version, then we will set it up. MCP in 30 seconds MCP (Model Context Protocol) is an open standard that lets AI assistants conn
There are thousands of MCP servers now. Most of them don't matter for your job. This directory covers the ones that do, grouped by what they're for, with honest notes on where each falls short. If you're new to MCP: it lets AI assistants like ChatGPT, Gemini,
Model Context Protocol (MCP) is an open standard that lets AI assistants pull live data from marketing tools like Google Analytics, Search Console, YouTube, and ad platforms. Anthropic released MCP in November 2024. By February 2026, over 10,000 MCP servers ex
Two statistics, placed side by side, tell the entire story of AI in marketing right now. 91% of marketing leaders say their teams use AI (HubSpot, 2025). 80% of organizations report no tangible EBIT impact from their AI investments (McKinsey, 2024). Nearly eve
Here is an uncomfortable number: 72% of organizations have adopted AI (McKinsey, 2024). Only 18% have established an AI governance council or framework (McKinsey, 2024). That means 82% of companies deploying AI across their marketing teams are doing so with no
94% of marketers plan to use AI for content creation in 2026 (HubSpot, 2026). Content creation is already the number one AI use case in marketing, at 35% of all AI activity (HubSpot, 2025). And yet, 80% of organizations report no tangible EBIT impact from gene
Your CRM is lying to you. Not maliciously, not obviously, but steadily and persistently. 80% of companies report that their CRM data is inaccurate (CRM Data Quality Statistics, 2024). That is not a rounding error or a problem limited to small teams with sloppy
Marketing teams run on tools. Lots of them. The average marketing department uses 91 different software products (ChiefMartec/Gartner MarTech Survey). Each one has its own login, its own dashboard, its own data format, and its own monthly invoice. We ran the n
AI assistants don't have their own search index. When someone asks ChatGPT for a product recommendation, it generates search queries and sends them to Google. It pulls the top results, reads the first 900 characters, and synthesizes an answer. If you don't ran
Every quarter, a new report drops claiming AI will transform marketing. Most of these reports say the same thing with slightly different numbers. So here is what we did: we pulled the most credible sources (McKinsey, Stanford HAI, HubSpot, Gartner) and stitche