Unified Context Layer
About Unified Context Layer
Unified Context Layer (UCL) is a multi-tenant Model Context Protocol (MCP) server that enables AI agents, automation platforms, and applications to connect to over 1,000 SaaS tools—such as Slack, Jira, Gmail, Shopify, Notion, and more—via a single standardized /command endpoint.
How to use UCL?
- Sign up or log in via https://ucl.dev/
- Activate the service(s)/connector(s) you want to use
- Go to the "Integrate" section on the left-hand side and follow the provided instructions to connect UCL to your agents.
- Alternatively use UCL's native sandbox feature and preview mode to see UCL in action.
Key features of Unified Context Layer
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.
Complete observability
Monitor logs, success rate, number of tenantes, connectors enabled, and more via UCL's native observability dashboard
Multi-tenancy
Built in true multi-tenancy allowing users to work across multiple tenants.
Sandbox and preview mode
See UCL's power on the go with a pre-built live sandbox mode where you'll see a custom built agent waiting for you. Alternatively, test out mutli-tenancy and more via preview mode.
Use cases of UCL
- Integrating in AI Agents that can fetch Shopify unresolved orders, convert them into Zendesk customer support tickets, and update Customer Success team via Slack.
- Build voice agents natively that work across different stack of apps for any customer.
- Enhancing cross collaboration amongst different teams.
F.A.Qs
Is Unified Context Layer free to use?
Yes, Unified Context Layer is free to use.
What platforms and services UCL supports?
UCL supports countless platforms ranging from Notion, Slack, GitHub, Jira, Shopify, and more. For services, we support Claude Desktop, VS Code, Cursor, including frameworks such as Langchain, CrewAI, etc.
Is there a way to contribute to Unified Context Layer?
Yes! Whether you're building your own MCP or wish to see additional actions within existing MCPs users can freely contribute using our "Add an app or existing connector" functionality.
Server Config
{
"mcpServers": {
"fastn": {
"transport": "streamable_http",
"url": "https://mcp.ucl.dev/mcp/?api_key=<ucl_api_key>&space_id=<ucl_space_id>"
}
}
}