MCP for AI Agents

Enable customer AI features
Customer authentication happens via OAuth consent screens or embedded JWT tokens. Your existing security, monitoring, and multi-tenant isolation remain intact.

Code-first integrations, AI-accessible
No prompt engineering needed. Customer AIs see structured schemas, understand parameters, and execute complete workflows: full control, predictable execution, and AI accessibility.

Built with developers in mind
Standard MCP protocol
Simple configuration
TypeScript or low-code
Full observability
Node AI SDK
Don't take our word for it
Common questions
A Model Context Protocol server that exposes your your integrations as tools customer AI systems can discover and invoke with proper authentication and multi-tenancy.
Any MCP-compatible client such as Claude, OpenAI API, or your own custom agent or chatbot implementation. Just add our server URL to the client configuration.
OAuth 2.0 consent flow for standalone access, or embedded JWT for in-app AI agents. Each customer's credentials are isolated and managed separately.
No. Enable existing agent flows as MCP tools with a toggle. Copy the MCP server URL and add it to your AI client's configuration, and your integrations are instantly accessible.
Agent flows are integrations designed for AI invocation with defined schemas. Regular flows can be converted to agent flows by adding proper input/output definitions.
Only if you're embedding AI capabilities in your application. For external AI clients like Claude Desktop, just configure the MCP server URL.







