The Model Context Protocol (MCP) is an open standard linking AI language models with your business systems. Like a universal connector you plug into a single protocol that handles the flow of context between AI and your internal apps. In practice, this means an AI assistant (like ChatGPT or Claude) can securely access your company’s relevant information – emails, chats, CRM records, support tickets, and more – to provide accurate answers based on up-to-date data. Essentially, MCP enables employees to ask questions and get responses based on your actual business data, breaking down information silos and speeding up insights.
Jigso offers an enterprise-ready MCP platform that connects all your internal tools to AI with security and ease - equipping your organization with a secure, centralized AI assistant that knows your business. It’s a practical, trusted way to unlock AI insights from your own data – accelerating decision-making and productivity while keeping your data safe and governed.
SOC2 compliant, Jigso keeps your data protected with end-to-end encryption and read-only connections. Your information remains yours – we never share or use your data for training. Jigso also respects your organization’s existing security rules.
Jigso is a single hub connecting all your work applications, empowering AI to tap into everything from Gmail and Slack to Jira, HubSpot, Salesforce, Zendesk, Office 365, BigQuery, Snowflake and more. Instead of juggling multiple integrations, Jigso’s platform lets your team access a 360° view of company knowledge through
one AI assistant.
Using each employee’s existing access rights and role permissions, Jigso ensures that everyone only sees the data they’re allowed. This means executives, managers, and reps each get relevant answers tailored to their clearance level – no more, no less.
Jigso always answers based on concrete data from your apps. It learns your organizational semantics to ensure your AI assistant is trained to answer free-text business questions correctly. Rather than relying on a model’s guesswork, your employees see accurate, data-backed insights they can trust.
