Fastest way to connect AI agents to your user's tools

One Hub. Any Tool. Every Customer.

Fastn UCL is the enterprise-grade unified multi-tenant MCP for AI agents with 1000+ tools. Built-in auth management and monitoring, all natively within your product.

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Introducing Fastn UCL
Unified Command Layer

Fastn UCL is the multi-tenant MCP gateway and orchestration layer that connects your AI agents to any user tool in minutes.

AI Optimized

Schema-flexible design works across dynamic enterprise data

AI Optimized

Schema-flexible design works across dynamic enterprise data

Zero Maintenance

Managed infrastructure. No need to host MCP servers locally

Zero Maintenance

Managed infrastructure. No need to host MCP servers locally

Unified Command Layer

One interface to command any system (Slack, Gmail, Snowflake, internal APIs, etc.)

Unified Command Layer

One interface to command any system (Slack, Gmail, Snowflake, internal APIs, etc.)

Enterprise Ready

Built-in auth, monitoring, observability and multi-tenant by design

Enterprise Ready

Built-in auth, monitoring, observability and multi-tenant by design

Resilient Infrastructure

Production-ready resilience with retries, timeouts, and batch processing

Resilient Infrastructure

Production-ready resilience with retries, timeouts, and batch processing

Unified Command Layer

One interface to command any system (Slack, Gmail, Snowflake, internal APIs, etc.)

Unified Command Layer

One interface to command any system (Slack, Gmail, Snowflake, internal APIs, etc.)

Enterprise Ready

Built-in auth, monitoring, observability and multi-tenant by design

Enterprise Ready

Built-in auth, monitoring, observability and multi-tenant by design

Resilient Infrastructure

Production-ready resilience with retries, timeouts, and batch processing

Resilient Infrastructure

Production-ready resilience with retries, timeouts, and batch processing

AI Optimized

Schema-flexible design works across dynamic enterprise data

AI Optimized

Schema-flexible design works across dynamic enterprise data

Zero Maintenance

Managed infrastructure. No need to host MCP servers locally

Zero Maintenance

Managed infrastructure. No need to host MCP servers locally

What is Fastn UCL?

Why we built UCL?

With Fastn UCL, your AI product doesn't just talk to APIs. It speaks the same language, securely and at scale.

Try Fastn UCL

Trusted by happy customers and partners

How it works

Connect Your Apps

Easily link internal tools and external services so your AI agent can interact across your entire stack. All through a secure, unified connection.

Embed Fastn UCL

Connect your MCP-compatible AI agent to Fastn's unified gateway and embed our React component for user app connections. With minimal setup, you get secure multi-tenant access to 1000+ tools while Fastn handles authentication, routing, and permissions.

Monitor AI Actions

Monitor every AI agent action in real-time. Track tool usage, debug connection issues, and analyze performance across all tenants from a unified dashboard.

Feature Overview

Fastn provides a unified MCP gateway that connects your AI agents to any user tool, with built-in authentication, monitoring, and multi-tenant security at enterprise scale.

Multi-Tenant Embedded App Store for AI Agents

Embed a white-labeled app store into your product so users can securely connect the tools their AI agent needs.

Single Orchestration Layer

Connect tools like Slack, CRMs, Jira, and LLMs through one orchestration layer. Trigger and manage actions using a single API or SDK without custom logic for every tool.

AI Action Agent

Let AI agents take real actions like sending messages or creating records based on what each user has authorized. Every action is logged, governed, and controlled by Fastn.

Why You Need More Than MCP

Model Context Protocol standardizes how AI models talk to tools—a critical first step. But production environments face more complex challenges.

Try Fastn UCL

Multiple Tenant Contexts

Enterprise AI needs to support separate data, users, and workflows across customers and teams.

MCP LIMITATION

No awareness of tenants or scoped contexts

UCL SOLUTION

Supports tenant-specific users, data, tools, and workflows

No Built-in Authentication

Traditional MCPs lack built-in authentication or access control, making them unsuitable for secure, multi-tenant, or enterprise use cases.

MCP LIMITATION

No built-in auth or access control

UCL SOLUTION

Enterprise Authentication and Authorization

Enterprise Security & Data Privacy

Enterprise organizations require robust security controls for sensitive data. The basic MCP implementation creates potential security and privacy challenges in enterprise settings.

MCP LIMITATION

Limited enterprise security controls

UCL SOLUTION

Enhanced security with access controls and monitoring

Intelligent Monitoring & Observability

Modern platforms need more than basic logs. Fastn UCL provides real-time visibility into agent actions, tool usage, and user behavior. Intelligent insights surface what matters most and help you stay ahead of issues.

MCP LIMITATION

No logging or monitoring

UCL SOLUTION

Built-in monitoring & audit trails

Enterprise Scalability

Enterprise deployments need to support thousands of users and hundreds of tools without performance degradation.

MCP LIMITATION

Breaks as tool count grows

UCL SOLUTION

Enterprise-grade scalability

Dynamic Data That Changes Constantly

Enterprise data sources update frequently. APIs evolve, database structures change, and configurations shift.

MCP LIMITATION

Rigid connections break when schemas change

UCL SOLUTION

Adaptive handling accommodates changes

+1500 tools

Fastn.ai vs Others

How Fastn.ai compares to other solutions

fastn

Others

Multitenancy

Built-in, true multitenancy

Each user manages own workflow

White-labeling

Full brand control

Not always the case

Scalability

Enterprise-ready , any number of apps under one commad layer

Scales poorly across tenants

SDK / Developer Tools

SDKs & APIs available

Dev platform, but limited embedding

Enterprise Flexibility

Dynamic schema adaptation with fallback strategies and mapping resolution

Rigid static schema mapping; fragile with dynamic data

Analytics & Monitoring

Centralized observability

Minimal usage insights

Try Fastn UCL

Power your AI agent with secure, multi-tenant access to 1000+ real tools — in just 2 steps.

Connect to our hosted endpoint and focus on building, not infrastructure.

SDK

Context-Aware Execution

Same command, different systems. Fastn automatically routes your commands to the right service based on tenant configuration.

Step 1

Connect Fastn UCL to Your MCP Server Compatible AI Agent

MCP server compatible endpoint

Secure multi-tenant architecture

1000+ tool integrations

Automatic OAuth management

Real-time command execution

Step 2

Embed Agent Connect UI

Production-ready React component library

Intuitive self-service configuration interface

Visual no-code connector management and configuration

Integrated user analytics and performance dashboards

Fully customizable UI themes and branding

https://mcp.ucl.dev/shttp/?
space_id=<spadeid>
&tenant_id=<tenant-id>
&auth_token=<auth-token>

import React from 'react';
import AgentConnect from '@fastn-ai/agent-connect';

const Component = () => {
  const authToken = useAuth(); // Your authentication logic

  return (
    <AgentConnect
      spaceId="example-space-id"
      authToken={authToken}
      tenantId="example-tenant-id"
    />
  );
};

MCP

Fastn supports the Model Context Protocol (MCP), making it easier for teams to build integrations that are both structured and dynamic. With built-in support for command-based interactions, SSE, and the Unified Command Layer (UCL), Fastn ensures your integrations remain responsive, secure, and tenant-aware, without adding operational complexity

Fastn UCL Architecture

AI Model / MCP Client

Standard MCP Interface

Standard MCP

No Multi-Tenant Support

Limited Connectivity

No Embedding Support

Tool Server

MCP Server

Fastn UCL

✓ Key Integration Points

AI Model / MCP Client

Uses UCL API/SDK

Tenant B

AI Model / MCP Client

Uses UCL API/SDK

Tenant C

AI Model / MCP Client

Uses UCL API/SDK

Embed Anywhere

Web Apps & Tools

UCL Command Layer

Identity & Auth

Tenant Context

Governance

Role-Based Access

Unified API

Developer SDKs

Embed Anywhere

MCP Server

Enterprise APIs

Databases

SaaS Tools

Custom Systems

Multi-Tenant

Universal Connectivity

Embeddable

Standard MCP

AI Model / MCP Client

Standard MCP Interface

Tool Server

MCP Server

No Multi-Tenant Support

Limited Connectivity

No Embedding Support

Fastn UCL

✓ Key Integration Points

AI Model / MCP Client

Uses UCL API/SDK

Tenant B

AI Model / MCP Client

Uses UCL API/SDK

Tenant C

AI Model / MCP Client

Uses UCL API/SDK

Embed Anywhere

Web Apps & Tools

UCL Command Layer

Identity & Auth

Tenant Context

Governance

Role-Based Access

Unified API

Developer SDKs

Embed Anywhere

Databases

Custom Systems

MCP Server

SaaS Tools

Enterprise APIs

Multi-Tenant

Universal Connectivity

Embeddable

AI Model / MCP Client

Standard MCP Interface

Standard MCP

No Multi-Tenant Support

Limited Connectivity

No Embedding Support

Tool Server

MCP Server

Fastn UCL

✓ Key Integration Points

AI Model / MCP Client

Uses UCL API/SDK

Tenant B

AI Model / MCP Client

Uses UCL API/SDK

Tenant C

AI Model / MCP Client

Uses UCL API/SDK

Embed Anywhere

Web Apps & Tools

UCL Command Layer

Identity & Auth

Tenant Context

Governance

Role-Based Access

Unified API

Developer SDKs

Embed Anywhere

MCP Server

SaaS Tools

Enterprise APIs

Custom Systems

Databases

Multi-Tenant

Universal Connectivity

Embeddable

Enterprise Security & Compliance

UCL is built to meet the most demanding enterprise security requirements.

Security Standards

SOC 2 Type II Certified

ISO Certified

GDPR Compliant

HIPAA & PCI Ready

Performance

10K+ Concurrent Requests

Sub-100ms Latency

Horizontal Scaling

99.9% Uptime SLA

Enterprise Support

24/7 Technical Support

Implementation Assistance

Custom Solution Reviews

Dedicated Technical Account Manager

Try Fastn UCL

Common Questions & Answers

Here’s everything you need to know about Fastn UCL, from features to getting started.

Got any specific questions?

Connect Us

What is Fastn UCL?

UCL stands for Unified Command Layer. It is a protocol-aware layer that provides a consistent interface for commanding any system. It routes commands based on tenant context with built-in authentication and observability.

What is MCP?

Is UCL secure?

How much does Fastn MCP cost?

Can I use Fastn MCP with any AI platform?

How fast can I get started?

Do I need to host my own MCP server?

Does Fastn provide SDKs or client libraries?

Can I test my tools before going live?

How does Fastn handle retries and timeouts?

Is there logging or observability for debugging?

Can I build custom tools on Fastn?

Can I control where my data is stored?

How do I support multiple tenants in my app?

Do I need to change my existing APIs to work with Fastn?

Can I connect to multiple MCP endpoints?

Can I simulate agent calls in development?

Does Fastn support streaming (SSE/Webhooks)?

How does the agent know which tool to call?

What types of tools can I register in Fastn?

What if a tool fails during execution?

Can I group tools by use case or app?

Can I control which agent can access which tools?

Can I disable or pause a tool without deleting it?

Can I track usage per agent or tool?

What is Fastn UCL?

What is MCP?

Is UCL secure?

How much does Fastn MCP cost?

Can I use Fastn MCP with any AI platform?

How fast can I get started?

Do I need to host my own MCP server?

Does Fastn provide SDKs or client libraries?

Can I test my tools before going live?

How does Fastn handle retries and timeouts?

Is there logging or observability for debugging?

Can I build custom tools on Fastn?

Can I control where my data is stored?

How do I support multiple tenants in my app?

Do I need to change my existing APIs to work with Fastn?

Can I connect to multiple MCP endpoints?

Can I simulate agent calls in development?

Does Fastn support streaming (SSE/Webhooks)?

How does the agent know which tool to call?

What types of tools can I register in Fastn?

What if a tool fails during execution?

Can I group tools by use case or app?

Can I control which agent can access which tools?

Can I disable or pause a tool without deleting it?

Can I track usage per agent or tool?

What is Fastn UCL?

What is MCP?

Is UCL secure?

How much does Fastn MCP cost?

Can I use Fastn MCP with any AI platform?

How fast can I get started?

Do I need to host my own MCP server?

Does Fastn provide SDKs or client libraries?

Can I test my tools before going live?

How does Fastn handle retries and timeouts?

Is there logging or observability for debugging?

Can I build custom tools on Fastn?

Can I control where my data is stored?

How do I support multiple tenants in my app?

Do I need to change my existing APIs to work with Fastn?

Can I connect to multiple MCP endpoints?

Can I simulate agent calls in development?

Does Fastn support streaming (SSE/Webhooks)?

How does the agent know which tool to call?

What types of tools can I register in Fastn?

What if a tool fails during execution?

Can I group tools by use case or app?

Can I control which agent can access which tools?

Can I disable or pause a tool without deleting it?

Can I track usage per agent or tool?

Fastn.ai vs Traditional Solutions

How Fastn.ai compares to traditional solutions like Others

fastn

Others

Multitenancy

Built-in, true multitenancy

Each user manages own workflow

White-labeling

Full brand control

Not always the case

Scalability

Enterprise-ready , any number of apps under one commad layer

Scales poorly across tenants

SDK / Developer Tools

SDKs & APIs available

Dev platform, but limited embedding

Enterprise Flexibility

Dynamic schema adaptation with fallback strategies and mapping resolution

Rigid static schema mapping; fragile with dynamic data

Analytics & Monitoring

Centralized observability

Minimal usage insights

Try Fastn now

Fastn.ai vs Traditional Solutions

How Fastn.ai compares to traditional solutions like Others

Others

Multitenancy

Built-in, true multitenancy

White-labeling

Full brand control

Scalability

Enterprise-ready , any number of apps under one commad layer

SDK / Developer Tools

SDKs & APIs available

Enterprise Flexibility

Dynamic schema adaptation with fallback strategies and mapping resolution

Analytics & Monitoring

Centralized observability

Fastn.ai vs Traditional Solutions

How Fastn.ai compares to traditional solutions like Others

Others

Multitenancy

Built-in, true multitenancy

White-labeling

Full brand control

Scalability

Enterprise-ready , any number of apps under one commad layer

SDK / Developer Tools

SDKs & APIs available

Enterprise Flexibility

Dynamic schema adaptation with fallback strategies and mapping resolution

Analytics & Monitoring

Centralized observability

How it works

Connect Your Apps

Easily link internal tools and external services so your AI agent can interact across your entire stack — all through a secure, unified connection.

Embed Fastn UCL

Use Fastn’s Agent to quickly connect and manage apps via the Universal Command Layer. With minimal setup and built-in multitenancy, it ensures secure tenant isolation while Fastn handles execution, routing, and permissions.