Ogment MCP-Builder
Ogment MCP-Builder is a no-code platform that enables businesses to convert their APIs, data, and documentation into production-ready MCPs (Model Context Protocol) for ChatGPT and Claude integration in minutes, with built-in authentication, evaluations, and analytics.
https://www.ogment.ai/?ref=producthunt
Product Information
Updated:Nov 21, 2025
What is Ogment MCP-Builder
Ogment MCP-Builder is a comprehensive platform that helps companies transform their products, data, and APIs into MCP servers that can be seamlessly integrated with AI assistants like ChatGPT and Claude. Launched in late 2024, it serves as a universal adapter for AI-powered applications, allowing businesses to expose their services directly inside AI assistants without requiring custom integrations or extensive coding. The platform provides a complete MCP stack that handles everything from building and testing to scaling and securing MCP implementations.
Key Features of Ogment MCP-Builder
Ogment MCP-Builder is a no-code platform that enables users to build Machine-Callable Protocol (MCP) servers and connect their products, APIs, and data to AI assistants like ChatGPT and Claude in minutes. It provides visual configuration tools, built-in authentication, analytics, and evaluation capabilities, allowing companies to expose their services directly inside AI assistants without custom coding while maintaining security and monitoring usage.
No-Code Visual Builder: Visually configure endpoints, operations, parameters, and connector metadata without writing code, similar to ChatGPT's GPT builder but extended for API endpoints
Built-in Security & Authentication: Supports OAuth 2.1 and API-key flows with scoped access control, audit logs, and user/app-level permission management
Comprehensive Analytics Dashboard: Monitor AI power users, endpoint calls, tool usage, query volumes, response latencies, and user-level trends to optimize ROI
Automated Testing & Evaluation: Built-in tools to validate MCPs across different agents and configurations to ensure reliability
Use Cases of Ogment MCP-Builder
SaaS Product Integration: Convert existing SaaS product APIs into MCPs so users can interact with the product directly through AI assistants
Internal Tool Access: Transform internal APIs into MCPs allowing teams to manage systems and trigger workflows through AI assistants
Data Access & Analysis: Publish datasets as MCPs for customers to access and analyze data through natural language in AI clients
API Documentation Enhancement: Convert static API documentation into interactive MCPs for developers to test and integrate through natural language
Pros
Quick implementation with no coding required
Comprehensive security and authentication features
Rich analytics and monitoring capabilities
Seamless integration with major AI assistants
Cons
Limited to supported AI platforms (mainly ChatGPT and Claude)
May require initial setup and configuration time
Potential dependency on third-party service availability
How to Use Ogment MCP-Builder
1. Sign up and access dashboard: Go to dashboard.ogment.ai and create an account to access the Ogment platform
2. Select MCP type: Choose what type of MCP you want to build - SaaS integration, Data connection, API documentation, or Internal API
3. Define scope and API: Use the no-code MCP builder to visually configure your API endpoints, operations, parameters and connector metadata
4. Set authentication rules: Configure authentication using OAuth 2.1 or API keys, and set up permissions for which users/apps can access the MCP
5. Test and evaluate: Use the built-in evaluation tools to validate your MCP across different AI agents and configurations
6. Publish MCP: Once testing is complete, publish your MCP to make it instantly available in ChatGPT and Claude for authorized users
7. Monitor analytics: Track usage, sessions, prompts and user behavior through the analytics dashboard to optimize your MCP
Ogment MCP-Builder FAQs
Ogment MCP-Builder is a no-code platform that lets you visually configure and build MCPs (Model Context Protocol) to connect your data, apps, and services into AI assistants like ChatGPT and Claude. It allows you to convert APIs, data, and documentation into production-ready MCPs with built-in authentication, evaluations, and analytics.
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