Managing MCP tools and LLM providers using IBM API Studio
IBM API Studio provides a unified environment for creating MCP tools and configuring connections to LLM providers.
You can reuse existing APIs and integrations by converting them into MCP-based, agent-ready tools, and configure LLM providers that AI agents use to generate responses.
With IBM API Studio, you can control access to MCP tools and LLM providers by applying security and usage policies. This approach helps you enforce governance, manage costs, and maintain consistent control across AI-driven interactions.
You can organize MCP tools and LLM provider configurations in projects and publish them to DataPower® Nano Gateway and Developer Portal for use
by applications and AI agents. IBM API Studio supports
integration with version-controlled repositories for managing changes and collaborating with
teams.
Note: You must have an Administrator or Developer user role to perform tasks in IBM API Studio
Key features
- Project-based organization
- Organize MCP tools and LLM provider configurations in projects for better visibility and control.
- API-to-MCP transformation
- Convert existing APIs into MCP tools that AI agents can discover and invoke.
- Third-party MCP server registration
- Register external MCP tools that AI agents can discover and invoke.
- LLM provider configuration
- Set up connections to supported LLM providers by defining endpoints, authentication details, and policies for governed access to LLM provider APIs.
- Policy application
- Apply policies to secure, control, and monitor AI interactions.
- Deployment
- Publish MCP servers and LLM provider configurations to DataPower Nano Gateway and Developer Portal to create a managed endpoint for consumption.