See what AI can actually do in your business.
Tell us what you want to automate. We'll show you how the process could look with MCP Fabric — from knowledge and agents to workflow execution and governance.
Knowledge → Agents → Workflows → MCP → Governance
- Trigger
- Agent
- Knowledge
- Decision
- Tool
- Approval
- Result
A working sequence, not a demo chatbot.
Each step is a real part of the platform. Follow the links — do not paste credentials into prompts.
1. Give AI the right context
Connect documents and business knowledge, scoped to your organization. Files you keep as files stay separate from searchable knowledge.
2. Give work to a specialized agent
Create an agent with instructions, tools and a clear boundary around what it may do. The process, not the chat window, owns the action.
3. Build the process once
Place triggers, knowledge search, decisions, tools, approvals and a response on the canvas. The steps you draw are what actually runs.
4. Connect the clients you already use
Publish tools and workflows over MCP. Cursor, Claude and other compatible clients call the same capability layer.
5. Keep every action under control
Before a tool or channel action runs, the platform can evaluate tenant, identity, role, license, policy and capacity.
From prompt to action
From a simple request to a completed task.
“Find the overdue invoices, identify the responsible managers and notify them.” The important part is what happens between the prompt and the result: retrieve the right knowledge, decide, use the right tools, wait for approval when needed, and finish the process.
Start from a business problem
If you already know the outcome, pick a solution path instead of assembling layers in the abstract.
Automation
Automate repeatable decisions and operational processes with human control where needed.
Hospitality
Answer guests. Handle requests. Run the process. Connect website chat, business knowledge, booking processes and human approval.
Operations
Give teams a controlled automation layer. Connect internal systems, AI clients, workflows and governed tools.
Customer service
Turn incoming requests into completed work. Connect forms, email, webhooks, agents and operational workflows.
Build on MCP and APIs
Use the platform's APIs and MCP contract as the integration surface — not a second unofficial tool dump.
Documentation
Learn how MCP, APIs and platform capabilities fit together — without rebuilding authorization in every client.
MCP
Publish and use governed capabilities through the Model Context Protocol.
API
Integrate platform capabilities into your own applications and services.
Integrations
MCP Fabric is designed to sit between the AI clients and business capabilities you already use.
Then look at production shape
Live examples, licensing, security and pricing stay aligned with verified release status.
Workflow steps
The steps you can place on the canvas — from triggers and agents to approvals and actions.
Capabilities
Each page describes a real MCP Fabric building block: how it runs, what it stores, and whether it is core or a licensed add-on. Availability is labeled Available, Preview or Planned.
References
These sites run on MCP Fabric: customer conversations, knowledge search, approvals, operational workflows and related capabilities — according to what each organization actually has enabled.
Security
As AI moves closer to real business systems, control matters. Let AI move fast without losing control.
Pricing
MCP Fabric is built around capabilities and organization-level entitlements. Start with the core platform and add the services your business actually needs. No artificial separation between the AI, the tools and the governance around them.
Identity
Connect MCP Fabric to your company identity so access stays aligned with your people, groups and roles.