

Fastn UCL is the industry’s first production-ready, multi-tenant Model Context Protocol (MCP) platform engineered exclusively for SaaS providers building intelligent AI agents. It serves as a secure Unified Command Layer — abstracting complexity across hundreds of tools, APIs, and internal systems — so AI agents can reliably execute actions *with context*, *with consent*, and *at scale*. Built from the ground up for enterprise compliance, tenant isolation, and zero-trust architecture, Fastn UCL delivers seamless connectivity, real-time observability, and adaptive schema handling — all without operational overhead.
Integration takes minutes, not months. First, register your SaaS environment and onboard supported tools — whether Slack, Salesforce, Snowflake, or custom REST/gRPC services — via Fastn’s secure OAuth and API key workflows. Next, embed Fastn UCL into your AI agent stack using our lightweight SDK or React-based UI component. Your agents instantly gain access to a unified, tenant-aware command interface — complete with automatic token rotation, permission-aware routing, and contextual action validation. Monitor every invocation, audit trail, and latency metric from a single, role-based dashboard.
Reach our dedicated support team at [email protected]. For sales inquiries, documentation, or implementation assistance, visit https://fastn.ai/contactus.
Company Name: Fastn, Inc. Legal Address: 522 Congress Avenue, Austin, TX 78701 Registered Entity: Delaware C-Corp | EIN: 87-421XXXXX
Access your dashboard and manage tenants: https://app.ucl.dev/
Create your free developer account and begin integrating in under 5 minutes: https://app.ucl.dev/
Follow our engineering insights and product updates: https://www.linkedin.com/company/fastnai/
Join the conversation on AI infrastructure and MCP standards: https://x.com/fastn_ai
Behind-the-scenes engineering culture and launch announcements: https://www.instagram.com/fastn_ai/
Fastn UCL is an enterprise-grade, multi-tenant Model Context Protocol (MCP) platform that acts as a secure Unified Command Layer — enabling AI agents to interact safely and consistently with any business system. Designed for SaaS builders, it provides built-in tenant isolation, compliance automation, dynamic tool discovery, and real-time action orchestration — all delivered as a managed service.
MCP (Model Context Protocol) is an open specification that standardizes how AI models request, validate, and execute actions against external systems. Fastn UCL implements MCP natively — eliminating custom adapters, reducing integration debt, and ensuring interoperability across AI agents, tools, and vendors.
Every request is validated against tenant-specific policies: identity (SAML/OIDC), authorization (RBAC + ABAC), data residency rules, and action-level consent. All credentials are encrypted at rest and in transit, with hardware-backed key management and quarterly third-party penetration testing.
Absolutely. Fastn UCL is a fully managed cloud service — including global edge routing, auto-scaling compute, encrypted logging, and SOC 2 Type II–certified infrastructure. You bring the AI agent; we handle everything else.
Yes — official SDKs for TypeScript, Python, and Java, plus community-supported bindings for Rust, Go, and Swift. All include auto-generated type safety, retry logic, and telemetry hooks. Documentation and examples are available at docs.ucl.dev.
Tenants can declare regional preferences (e.g., “EU-only processing”) during onboarding. Fastn enforces strict data boundary controls — routing traffic, storing logs, and executing actions only within designated geographies — backed by contractual commitments and certified compliance frameworks (GDPR, HIPAA, ISO 27001, PCI-DSS).