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Fastn Unified Context Layer MCP Server

MCP Server

One command to connect thousands of SaaS tools

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About

Fastn’s UCL MCP server lets AI agents and applications access over 1,000 SaaS services via a single standardized /command endpoint. It abstracts SDKs, authentication, and glue code for seamless cross‑platform integrations.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Unified Context Layer (UCL) MCP Gateway

Unified Context Layer (UCL) is a multi‑tenant Model Context Protocol (MCP) server that unifies access to more than 1,000 SaaS tools—ranging from collaboration platforms like Slack and Notion to productivity suites such as Gmail, Shopify, Jira, HubSpot, and many others—through a single, standardized endpoint. By abstracting the complexity of individual SDKs, authentication flows, and data schemas, UCL lets developers focus on building intelligent agents and automation workflows rather than writing bespoke connectors for each service.

What Problem Does UCL Solve?

Modern AI assistants often need to pull or push data across a heterogeneous set of business applications. Traditional approaches require developers to maintain separate integrations, each with its own OAuth dance, rate limits, and error handling. This not only slows development but also introduces maintenance overhead and security gaps. UCL consolidates all these disparate connections into one gateway, providing a consistent request/response contract that the MCP‑compliant client can consume. The result is faster prototyping, reduced operational risk, and a single source of truth for all external data interactions.

Core Value Proposition

  • Single Point of Entry: All SaaS integrations are exposed via a unified interface, eliminating the need for multiple SDKs or API wrappers.
  • Tenant‑Aware & Key‑Based Authentication: Supports both API key and tenant‑based auth, allowing flexible security models for single‑tenant or multi‑tenant deployments.
  • Comprehensive Logging & Error Handling: Built‑in diagnostics give developers visibility into call flows, failures, and performance metrics, simplifying troubleshooting.
  • Plug‑and‑Play with AI Assistants: Compatibility with Claude and other MCP clients means agents can issue context‑rich commands without custom adapters.

Key Features & Capabilities

  • Wide Tool Coverage: Pre‑built connectors for Slack, Notion, Jira, Shopify, Gmail, HubSpot, and many more.
  • Extensible Connector Registry: New tools can be added to the UCL catalog without touching client code, simply by enabling them in the UCL account dashboard.
  • Cross‑Platform Orchestration: Agents can chain commands across services—e.g., fetch a Jira issue, summarize it in Notion, and post the summary to Slack—all within one request cycle.
  • Robust Error Management: Structured error responses allow clients to implement retry logic, fallback strategies, or user‑friendly messaging.

Real‑World Use Cases

  • Customer Support Automation: An AI agent pulls ticket details from Zendesk, enriches them with CRM data from HubSpot, and posts a concise update in Slack for the support team.
  • Productivity Boost: A personal assistant aggregates calendar events from Google Calendar, extracts meeting notes from Notion, and sends a daily digest email via Gmail.
  • E‑commerce Operations: A bot monitors Shopify order status, updates inventory in Airtable, and notifies the warehouse team through Slack.
  • Project Management: An AI can create Jira tasks, attach relevant Confluence pages, and schedule follow‑up reminders in Outlook—all orchestrated through a single MCP command.

Integration with AI Workflows

Developers embed the UCL server into their existing MCP client configuration. Once registered, AI assistants such as Claude can invoke endpoints by specifying the target service and payload. Because UCL normalizes responses, downstream logic—whether a natural‑language summarizer or a rule‑based decision engine—can treat all external data uniformly. This seamless flow enables sophisticated, context‑aware interactions without the friction of multiple authentication schemes or data transformations.

Standout Advantages

  • Unified API Surface: One endpoint, one contract—greatly simplifies client code.
  • Scalable Multi‑Tenant Architecture: Built for SaaS customers and enterprises that need isolated, secure connections.
  • Rapid Feature Rollout: New connectors are published to the UCL catalog and instantly available, keeping agents up‑to‑date with the latest SaaS capabilities.
  • Developer‑First Design: Clear logging, structured error codes, and flexible authentication make it a pleasure to debug and extend.

In summary, the Unified Context Layer MCP Gateway empowers developers to build intelligent agents that can seamlessly interact with a vast ecosystem of business tools, all while keeping the integration layer lean, secure, and future‑proof.