Expose your APIs as secure MCP tools for AI agents—without building the server, auth, tenancy, or ops stack yourself.
Build MCP servers faster
Create MCP tools from existing APIs (e.g., from specs/definitions or reusable templates)
Define tools, resources, and prompts with consistent schemas and validation
Rapid iteration with versioning and repeatable environments (dev/stage/prod)
Secure access for agents and customers
Support for common auth patterns (e.g., API keys, OAuth/OIDC, token handling)
Per-tenant credential management and configuration
Access controls and guardrails to reduce accidental overreach by agents
Operate at scale
Multi-tenant runtime concepts designed for SaaS and enterprise usage
Rate limits/quotas and policy-based enablement of tools
Audit-friendly logging and activity visibility for troubleshooting and governance
Observe, control, and improve
Execution logs and runtime insights for MCP calls
Error handling patterns to keep agent interactions reliable
Tool lifecycle management: publish, deprecate, and upgrade cleanly
Package and distribute MCP capabilities
Publish curated MCP servers/tools for internal teams or customers
Optional catalog/marketplace-style experience for discovery and enablement
Templates and reusable patterns to standardize delivery
What you can build with MCP PaaS
AI support agents that can look up accounts, update tickets, and trigger workflows
Sales/RevOps copilots that query CRM data and create follow-ups automatically
IT/DevOps assistants that provision access, rotate secrets, or open change requests
Data & analytics agents that safely retrieve governed datasets and generate reports
Embedded “AI actions” inside your SaaS (end users trigger agent-driven tasks securely)
