MCP (Model Context Protocol) is an open universal protocol, introduced by Anthropic in late 2024, for securely linking AI models like ChatGPT to data sources and tools via standard “MCP servers.” This lets companies expose APIs (e.g., files, CRM, ERP) to the model without custom code per integration. MCP enables agents to maintain context as they navigate multiple systems within a ChatGPT workspace.

Access to a ChatGPT-like conversational assistant increased issues resolved per hour by 15% on average, with novice and lower-skilled agents gaining up to 30–34% more. When employees have all their critical work apps integrated inside ChatGPT, AI agents operate with full real-time context—across CRM, internal documentation, analytics, and messaging tools—enabling seamless workflow automation, minimizing task switching, and turning the company into an AI-first organization where every user works more efficiently.

Our platform provides a no-code MCP builder that lets you visually configure endpoints, operations, parameters, and connector metadata. You can assemble ChatGPT-compatible MCP tools without writing code—perfect for internal connectors (e.g. Slack, Google Drive, proprietary APIs). Similar to how ChatGPT’s official no-code GPT builder works, but extended to expose structured API endpoints as tools.

We support industry-standard security via OAuth 2.1 or API-key flows. Each MCP connector enforces scoped access — only exposing authorized endpoints—and tokens or credentials are never shared with LLM providers. Admin dashboards allow review, audit logs, and revocation of user or app-level permissions.

Our platform includes workplace analytics dashboards: monitor AI power users, number of endpoint calls, most-used tools, timing and volume of queries, user-level usage, and trends over time. You can track which agents invoke which MCP endpoints, response latencies, and audit context flows — enabling optimization and ROI visibility.

You can set it up in minutes. With Ogment, you define the scope, API, or service in our MCP builder, set authentication rules, and publish it. The tool is then instantly available in ChatGPT and Claude for authorized users — no custom coding or deployment needed. Attached to it are powerful analytics that help you understand user behavior, track adoption, and see exactly how customers are engaging with your MCP.