Fastn Ucl

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Fastn UCL is a secure, enterprise-grade, multi-tenant Model Context Protocol (MCP) for SaaS, designed to seamlessly connect AI agents to the tools, APIs, and platforms users rely on. It functions as a Unified Command Layer (UCL), acting as a multi-tenant MCP gateway and orchestration layer that provides a
Enterprise multi-tenant MCP for AI agents, connecting them to any tool.
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What is Fastn Ucl?

Enterprise multi-tenant MCP for AI agents, connecting them to any tool.

Fastn UCL is a secure, enterprise-grade, multi-tenant Model Context Protocol (MCP) for SaaS, designed to seamlessly connect AI agents to the tools, APIs, and platforms users rely on. It functions as a Unified Command Layer (UCL), acting as a multi-tenant MCP gateway and orchestration layer that provides a

Core Features
Secure, enterprise-grade, multi-tenant MCP for SaaS
Unified Command Layer (UCL) for commanding any system
Connects AI agents to 1000+ tools, APIs, and platforms
Built-in authentication, authorization, and access control
Intelligent monitoring, logging, and observability
Enterprise-grade scalability and resilient infrastructure
AI-optimized, schema-flexible design for dynamic data
Zero maintenance (managed infrastructure)
Embedded App Store for AI Agents (white-labeled)
Single Orchestration Layer for various tools (Slack, CRMs, Jira, LLMs)
AI Action Agent for taking real actions (e.g., sending messages, creating records)
SDKs and APIs available for developers
Popular Use Cases
  • Connecting AI agents to a wide range of user tools and enterprise systems (e.g., Slack, Gmail, Snowflake, CRMs, Jira, LLMs).
  • Enabling AI agents to perform real actions like sending messages or creating records based on user authorization.
  • Embedding white-labeled app stores directly into products for users to securely connect tools their AI agent needs.
  • Integrating and orchestrating multiple data sources into a single, unified API for AI agent interaction.
  • Providing secure, multi-tenant access for AI products to interact with sensitive enterprise data and workflows.
  • Monitoring and debugging AI agent actions, tool usage, and performance across all tenants from a unified dashboard.
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • To use Fastn UCL
  • you first connect your apps by linking internal tools and external services through a secure
  • unified connection. Then
  • you embed Fastn UCL by connecting your MCP-compatible AI agent to Fastn's unified gateway and embedding their React component for user app connections. This process provides secure multi-tenant access to over 1000 tools
  • with Fastn handling authentication
  • routing
  • and permissions. The system allows for monitoring of AI agent actions in real-time from a unified dashboard.
Pricing
Fastn Ucl uses a freemium pricing model. Pricing and features may change over time.
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