The Model Context Protocol (MCP) is the standard that allows AI to interact directly with your external tools in real time. Instead of simply answering your questions, AI can read your files, query your databases, create tickets, update documents and trigger automated actions in your applications.
π MCP Architecture
GitHub
Repos, Issues, PR
Slack
Messages, Channels
Notion
Pages, Databases
Google Drive
Files, Docs
Jira
Tickets, Sprints
Database
SQL, NoSQL
π RAG β Knowledge Base
Indexed sources
π¬ "What is the delivery time for product X?" β Answer based on your documentation
RAG (Retrieval-Augmented Generation) allows AI to draw from your own documents, FAQs, reports and data before responding. Instead of inventing, it cites your sources. Result: factual, precise and always up-to-date answers based on your business reality.
Connect your Instagram, TikTok, LinkedIn, X (Twitter), Facebook and Pinterest accounts. The social media agent plans, creates and publishes content directly to all your platforms without leaving Oupi.
π± Connected platforms
TikTok
ConnectedX / Twitter
Connectedπ DeepSearch β Natural language query
Your question:
"Which customers placed more than 3 orders last month with an average basket over β¬200?"
Automatically generated SQL:
SELECT c.name, COUNT(o.id), AVG(o.total) FROM customers c JOIN orders o ON c.id = o.customer_id WHERE o.date >= '2026-01-01' GROUP BY c.id HAVING COUNT(o.id) > 3 AND AVG(o.total) > 200
Result: 47 customers found
Connect your databases (MySQL, PostgreSQL, MongoDB, BigQuery) and ask your questions in plain language. AI automatically translates into SQL/NoSQL queries, executes and presents results in a readable way β without writing a single line of code.