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MCP for the Enterprise

MCP Gets You Started. UCL Gets You to Production.

Fastn UCL transforms MCP from basic connectivity into an enterprise command hub that secures, routes, and orchestrates AI tools across multi-tenant environments.

Why Enterprises Need More Than Basic MCP

Why Enterprises Need More Than Basic MCP

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

No Build-in Authentication

Enterprise security adapts based on user, role, and scenario. Permissions vary by context and purpose.

MCP LIMITATION

No built-in auth or access control

UCL SOLUTION

Enterprise-grade identity & access management

Multiple Tenant Contexts

Enterprise AI serves different departments, customers, and regions—each with unique data and requirements.

MCP LIMITATION

No concept of tenancy or isolation

UCL SOLUTION

Complete multi-tenant architecture

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

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

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

Compliance Requirements

Enterprise AI faces regulatory scrutiny. Auditors need complete records of who did what, when, and why.

MCP LIMITATION

No logging or monitoring

UCL SOLUTION

Built-in monitoring & audit trails

No Build-in Authentication

Enterprise security adapts based on user, role, and scenario. Permissions vary by context and purpose.

MCP LIMITATION

No built-in auth or access control

UCL SOLUTION

Enterprise-grade identity & access management

Multiple Tenant Contexts

Enterprise AI serves different departments, customers, and regions—each with unique data and requirements.

MCP LIMITATION

No concept of tenancy or isolation

UCL SOLUTION

Complete multi-tenant architecture

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

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

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

Compliance Requirements

Enterprise AI faces regulatory scrutiny. Auditors need complete records of who did what, when, and why.

MCP LIMITATION

No logging or monitoring

UCL SOLUTION

Built-in monitoring & audit trails

No Build-in Authentication

Enterprise security adapts based on user, role, and scenario. Permissions vary by context and purpose.

MCP LIMITATION

No built-in auth or access control

UCL SOLUTION

Enterprise-grade identity & access management

Multiple Tenant Contexts

Enterprise AI serves different departments, customers, and regions—each with unique data and requirements.

MCP LIMITATION

No concept of tenancy or isolation

UCL SOLUTION

Complete multi-tenant architecture

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

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

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

Compliance Requirements

Enterprise AI faces regulatory scrutiny. Auditors need complete records of who did what, when, and why.

MCP LIMITATION

No logging or monitoring

UCL SOLUTION

Built-in monitoring & audit trails

No Build-in Authentication

Enterprise security adapts based on user, role, and scenario. Permissions vary by context and purpose.

MCP LIMITATION

No built-in auth or access control

UCL SOLUTION

Enterprise-grade identity & access management

Multiple Tenant Contexts

Enterprise AI serves different departments, customers, and regions—each with unique data and requirements.

MCP LIMITATION

No concept of tenancy or isolation

UCL SOLUTION

Complete multi-tenant architecture

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

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

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

Compliance Requirements

Enterprise AI faces regulatory scrutiny. Auditors need complete records of who did what, when, and why.

MCP LIMITATION

No logging or monitoring

UCL SOLUTION

Built-in monitoring & audit trails

Abstract

"MCP provides the USB-C port. The real world needs a hub that connects all your different devices."

"MCP provides the USB-C port. The real world needs a hub that connects all your different devices."

UCL: Taken MCP to Production

Enterprise Need

MCP Limitation

MCP Limitation

UCL Solution

UCL Solution

Authentication & access control

No built-in auth

No built-in auth

Enterprise-grade identity & access management

Enterprise-grade identity & access management

Multi-tenant support

No concept of tenancy

No concept of tenancy

Complete tenant isolation

Complete tenant isolation

Schema adaptation

Rigid connections break

Rigid connections break

Adaptive handling

Adaptive handling

Observability

No logging or monitoring

No logging or monitoring

Built-in audit trails

Built-in audit trails

Production scale

Breaks as tool count grows

Breaks as tool count grows

Enterprise-grade scaling

Enterprise-grade scaling

Data privacy

Limited enterprise security controls

Limited enterprise security controls

Enhanced security with access controls

Enhanced security with access controls

Data sovereignty

Limited regional support

Limited regional support

Regional deployment with certification

Regional deployment with certification

Cost management

No usage visibility

No usage visibility

Complete usage analytics

Complete usage analytics

Enterprise Need

MCP Limitation

UCL Solution

Authentication & access control

No built-in auth

Enterprise-grade identity & access management

Multi-tenant support

No concept of tenancy

Complete tenant isolation

Schema adaptation

Rigid connections break

Adaptive handling

Observability

No logging or monitoring

Built-in audit trails

Production scale

Breaks as tool count grows

Enterprise-grade scaling

Data privacy

Limited enterprise security controls

Enhanced security with access controls

Data sovereignty

Limited regional support

Regional deployment with certification

Cost management

No usage visibility

Complete usage analytics

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

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

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

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

Real-World Analogy

Background
Background

You say: "Send this to the team."

Email us here

Fastn knows:


  • This tenant uses Teams → it sends it to Teams

  • Another tenant uses Slack → message goes to Slack

You don't write if-statements. You just issue commands.

Background
Background

You say: "Fetch yesterday’s orders."

Email us here

Fastn knows:


  • Customer A runs on Shopify

  • Customer B uses Magento

  • Customer C has a custom-built order system

No branching logic. Just plug in Fastn.

Functional Examples

Enterprise Ops

Project Manager Agent

Task:

"Update the status to complete."

UCL knows what systems to update without explicit instructions:

Updates the Asana card

Closes the related GitHub issue

Updates the status to 'Done' in Airtable

Background Lines

Enterprise Ops

Project Manager Agent

Task:

"Update the status to complete."

UCL knows what systems to update without explicit instructions:

Updates the Asana card

Closes the related GitHub issue

Updates the status to 'Done' in Airtable

Background Lines

Enterprise Ops

Project Manager Agent

Task:

"Update the status to complete."

UCL knows what systems to update without explicit instructions:

Updates the Asana card

Closes the related GitHub issue

Updates the status to 'Done' in Airtable

Background Lines

Enterprise Ops

Project Manager Agent

Task:

"Update the status to complete."

UCL knows what systems to update without explicit instructions:

Updates the Asana card

Closes the related GitHub issue

Updates the status to 'Done' in Airtable

Background Lines

Finance & Procurement

Finance Approver Agent

Task:

"Approve this purchase."

UCL knows the right approval paths by context:

Routes hardware purchases through Coupa

Logs software approvals in Jira Service Desk

Notifies Procurement team in Slack

Triggers Okta provisioning when needed

Background Lines

Finance & Procurement

Finance Approver Agent

Task:

"Approve this purchase."

UCL knows the right approval paths by context:

Routes hardware purchases through Coupa

Logs software approvals in Jira Service Desk

Notifies Procurement team in Slack

Triggers Okta provisioning when needed

Background Lines

Finance & Procurement

Finance Approver Agent

Task:

"Approve this purchase."

UCL knows the right approval paths by context:

Routes hardware purchases through Coupa

Logs software approvals in Jira Service Desk

Notifies Procurement team in Slack

Triggers Okta provisioning when needed

Background Lines

Finance & Procurement

Finance Approver Agent

Task:

"Approve this purchase."

UCL knows the right approval paths by context:

Routes hardware purchases through Coupa

Logs software approvals in Jira Service Desk

Notifies Procurement team in Slack

Triggers Okta provisioning when needed

Background Lines

HR & IT

IT Manager Agent

Task:

"Update the status to complete."

UCL knows the right approval paths by context:

Deactivates accounts in Okta

Closes IT tickets in Jira

Notifies HR via Workday

Schedules exit interview in Calendly

Background Lines

HR & IT

IT Manager Agent

Task:

"Update the status to complete."

UCL knows the right approval paths by context:

Deactivates accounts in Okta

Closes IT tickets in Jira

Notifies HR via Workday

Schedules exit interview in Calendly

Background Lines

HR & IT

IT Manager Agent

Task:

"Update the status to complete."

UCL knows the right approval paths by context:

Deactivates accounts in Okta

Closes IT tickets in Jira

Notifies HR via Workday

Schedules exit interview in Calendly

Background Lines

HR & IT

IT Manager Agent

Task:

"Update the status to complete."

UCL knows the right approval paths by context:

Deactivates accounts in Okta

Closes IT tickets in Jira

Notifies HR via Workday

Schedules exit interview in Calendly

Background Lines

HR & IT

IT Manager Agent

Task:

"Update the status to complete."

UCL knows the right approval paths by context:

Deactivates accounts in Okta

Closes IT tickets in Jira

Notifies HR via Workday

Schedules exit interview in Calendly

Background Lines

Ready to take MCP to Production?

Start your free trial today and see how Fastn UCL enhances your AI deployment.

Go from AI commands to real-world actions

Fastn UCL connects your AI agent to apps like Slack, Shopify, Gmail, and more-without writing any integration logic. Just send a command, and Fastn routes it.

Fastn UCL connects your AI agent to apps like Slack, Shopify, Gmail, and more-without writing any integration logic. Just send a command, and Fastn routes it.

Background

Unified Command Layer (UCL)

One API that connects to all your systems. You don’t need separate MCP servers for each app, a single endpoint connects them all. You can connect to any number of apps.

Background

Unified Command Layer (UCL)

One API that connects to all your systems. You don’t need separate MCP servers for each app, a single endpoint connects them all. You can connect to any number of apps.

Background

Unified Command Layer (UCL)

One API that connects to all your systems. You don’t need separate MCP servers for each app, a single endpoint connects them all. You can connect to any number of apps.

Background

Unified Command Layer (UCL)

One API that connects to all your systems. You don’t need separate MCP servers for each app, a single endpoint connects them all. You can connect to any number of apps.

Background

Built-in Multitenancy

Different customers. Different apps. One secure platform. With Fastn, each customer {tenant} gets their own secure space. It auto detects their apps and sends the same command to the right one.

Background

Built-in Multitenancy

Different customers. Different apps. One secure platform. With Fastn, each customer {tenant} gets their own secure space. It auto detects their apps and sends the same command to the right one.

Background

Built-in Multitenancy

Different customers. Different apps. One secure platform. With Fastn, each customer {tenant} gets their own secure space. It auto detects their apps and sends the same command to the right one.

Background

Built-in Multitenancy

Different customers. Different apps. One secure platform. With Fastn, each customer {tenant} gets their own secure space. It auto detects their apps and sends the same command to the right one.

Background

Agent-Ready, Built for Production, Not Just Demos

Easy to maintain. Built to scale. Fully observable. Track agent activity, debug with ease, and scale confidently as your workflows grow. Plug into LangGraph, CrewAI, AutoGen, and more.

Background

Agent-Ready, Built for Production, Not Just Demos

Easy to maintain. Built to scale. Fully observable. Track agent activity, debug with ease, and scale confidently as your workflows grow. Plug into LangGraph, CrewAI, AutoGen, and more.

Background

Agent-Ready, Built for Production, Not Just Demos

Easy to maintain. Built to scale. Fully observable. Track agent activity, debug with ease, and scale confidently as your workflows grow. Plug into LangGraph, CrewAI, AutoGen, and more.

Background

Agent-Ready, Built for Production, Not Just Demos

Easy to maintain. Built to scale. Fully observable. Track agent activity, debug with ease, and scale confidently as your workflows grow. Plug into LangGraph, CrewAI, AutoGen, and more.

How it works

How it works

How it works

Connect your Apps

Step 01

Select the apps you want to integrate.

Connect and authorize

Define actions your AI agent can perform

Connect your Apps

Step 01

Select the apps you want to integrate.

Connect and authorize

Define actions your AI agent can perform

Connect your Apps

Step 01

Select the apps you want to integrate.

Connect and authorize

Define actions your AI agent can perform

Connect your Apps

Step 01

Select the apps you want to integrate.

Connect and authorize

Define actions your AI agent can perform

Integrate Fastn UCL

Step 02

Connect via command or SSE

Invoke UCL using the Fastn CLI or SDK

Fastn handles secure execution and routing — no custom infra needed

Integrate Fastn UCL

Step 02

Connect via command or SSE

Invoke UCL using the Fastn CLI or SDK

Fastn handles secure execution and routing — no custom infra needed

Integrate Fastn UCL

Step 02

Connect via command or SSE

Invoke UCL using the Fastn CLI or SDK

Fastn handles secure execution and routing — no custom infra needed

Integrate Fastn UCL

Step 02

Connect via command or SSE

Invoke UCL using the Fastn CLI or SDK

Fastn handles secure execution and routing — no custom infra needed

Monitor AI Actions

Step 03

Track every command with full visibility

Monitor usage to understand performance and estimate costs

Get error insights and execution context in real time

Monitor AI Actions

Step 03

Track every command with full visibility

Monitor usage to understand performance and estimate costs

Get error insights and execution context in real time

Monitor AI Actions

Step 03

Track every command with full visibility

Monitor usage to understand performance and estimate costs

Get error insights and execution context in real time

Monitor AI Actions

Step 03

Track every command with full visibility

Monitor usage to understand performance and estimate costs

Get error insights and execution context in real time

Developer-First SDK

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

Context-Aware Execution

Context-Aware Execution

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

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

Tenant 1 uses Slack? Command goes to Slack.

Tenant 1 uses Slack? Command goes to Slack.

Tenant 1 uses Slack? Command goes to Slack.

Tenant 1 uses Slack? Command goes to Slack.

Tenant 2 uses Microsoft Teams? Same command, different destination.

Tenant 2 uses Microsoft Teams? Same command, different destination.

Tenant 2 uses Microsoft Teams? Same command, different destination.

Tenant 2 uses Microsoft Teams? Same command, different destination.

No rewrites, no conditionals, no headaches.

No rewrites, no conditionals, no headaches.

No rewrites, no conditionals, no headaches.

No rewrites, no conditionals, no headaches.

from fastn import FastnClient

client1 = FastnClient(
    api_key="your_api_key", 
    space_id="your_space_id", 
    tenant_id="tenant 1"
)

response = client1.execute_action(
        prompt="Send an alert to the team 🚀"
    )

→ Add a new tenant with different tools? No code changes needed.

client2 = FastnClient(
    api_key="your_api_key", 
    space_id="your_space_id", 
    tenant_id="tenant 2"
)

response = client2.execute_action(
        prompt="Send an alert to the team 🚀"
    )

client2 = FastnClient(
    api_key="your_api_key", 
    space_id="your_space_id", 
    tenant_id="tenant 2"
)

response = client2.execute_action(
        prompt="Send an alert to the team 🚀"
    )

Built for Agentic Workflows

Built for Agentic Workflows

Fastn UCL integrates with leading agent frameworks and AI clients:

Introducing Fastn UCL
Unified Command Layer

Fastn UCL is our next-gen abstraction built on top of the Fastn MCP foundation.

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.)

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

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

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

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

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?

What is Fastn UCL?

What is Fastn UCL?

What is Fastn UCL?

Why We Built UCL

Why We Built UCL

Why We Built 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.

Key Benefits

UCL: Taken MCP to Production

Logo
Logo

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

Fastn.ai vs Traditional Solutions

How Fastn.ai compares to traditional solutions like Others

Logo
Logo

Others

Multitenancy

Built-in, true multitenancy

Each user manages own workflow

Background Lines
Background Lines

White-labeling

Full brand control

Not always the case

Background Lines
Background Lines

Scalability

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

Scales poorly across tenants

Background Lines
Background Lines

SDK / Developer Tools

SDKs & APIs available

Dev platform, but limited embedding

Background Lines
Background Lines

Enterprise Flexibility

Dynamic schema adaptation with fallback strategies and mapping resolution

Rigid static schema mapping; fragile with dynamic data

Background Lines
Background Lines

Analytics & Monitoring

Centralized observability

Minimal usage insights

Background Lines
Background Lines
Versus Background
Versus Background

FAQ

FAQ

FAQ

FAQ

Common Questions & Answers

Common Questions & Answers

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

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

Got any specific questions?

Got any specific questions?

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?

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?

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?

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?

Unlock your potential with Fastn UCL.

Unlock your potential with Fastn UCL.

Launch your first AI assistant to boost efficiency.

fastn.ai

Copyright © 2025 Fastn, Inc.

fastn.ai

Copyright © 2025 Fastn, Inc.

Copyright © 2024 Fastn, Inc.