Microsoft

Fabric

Microsoft Fabric ML Model MCP server
Microsoft Fabric ML Model MCP server
Microsoft Fabric ML Model MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents

Q: What is the Microsoft Fabric ML Model MCP server?

It’s a Model Context Protocol server that exposes the Microsoft Fabric ML Model API operations as tools. Claude, ChatGPT, Cursor or your own agents call them through the Mindflow MCP Gateway.

Q: Do I need an official MCP server from the vendor?

No. Mindflow exposes Microsoft Fabric ML Model as an MCP server through its native connector, which covers the full API and stays current when the API changes.

Q: Which AI clients can use Microsoft Fabric ML Model through MCP?

MCP-compatible clients such as Claude, ChatGPT, Cursor, Codex or your own agents. They connect to one governed endpoint, so changing clients doesn’t mean rebuilding access.

Q: How do I control what AI agents can do in Microsoft Fabric ML Model?

In the MCP Gateway, choose the tools each client may call. Allow reads, require human approval before sensitive writes and block the rest. Credentials stay in Mindflow and every call is logged.

Q: Can the same connection power automated workflows?

Yes. The same Microsoft Fabric ML Model connector runs in Mindflow flows and AI··Agents, so one connection serves your AI clients and your automations.

Expose Microsoft Fabric ML Model to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.

Book a demo

See the integration

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

Our customers scale automation with security built in.

Read customer story

Tools exposed by this MCP server

Every Microsoft Fabric ML Model operation, as an MCP tool

Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:

Microsoft Fabric ML Model
Microsoft Fabric ML Model
Activate model endpoint version
Activate model endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Create ml model in workspace
Create ml model in workspace
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Deactivate all model endpoint versions
Deactivate all model endpoint versions
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Deactivate model endpoint version
Deactivate model endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Delete ml model
Delete ml model
Microsoft Fabric ML Model
Microsoft Fabric ML Model
List ml model endpoint versions
List ml model endpoint versions
Microsoft Fabric ML Model
Microsoft Fabric ML Model
List ml models in workspace
List ml models in workspace
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model endpoint properties
Return ml model endpoint properties
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model endpoint version info
Return ml model endpoint version info
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model properties
Return ml model properties
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Score input using default endpoint version
Score input using default endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Score input using specific endpoint version
Score input using specific endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update default model version for endpoint
Update default model version for endpoint
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update ml model endpoint version configuration
Update ml model endpoint version configuration
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update ml model properties
Update ml model properties

Microsoft Fabric ML Model
Activate model endpoint version
Microsoft Fabric ML Model
Create ml model in workspace
Microsoft Fabric ML Model
Deactivate all model endpoint versions
Microsoft Fabric ML Model
Deactivate model endpoint version
Microsoft Fabric ML Model
Delete ml model
Microsoft Fabric ML Model
List ml model endpoint versions
Microsoft Fabric ML Model
List ml models in workspace
Microsoft Fabric ML Model
Return ml model endpoint properties
Microsoft Fabric ML Model
Return ml model endpoint version info
Microsoft Fabric ML Model
Return ml model properties
Microsoft Fabric ML Model
Score input using default endpoint version
Microsoft Fabric ML Model
Score input using specific endpoint version
Microsoft Fabric ML Model
Update default model version for endpoint
Microsoft Fabric ML Model
Update ml model endpoint version configuration
Microsoft Fabric ML Model
Update ml model properties

Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update ml model properties
Update ml model properties
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update ml model endpoint version configuration
Update ml model endpoint version configuration
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Update default model version for endpoint
Update default model version for endpoint
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Score input using specific endpoint version
Score input using specific endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Score input using default endpoint version
Score input using default endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model properties
Return ml model properties
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model endpoint version info
Return ml model endpoint version info
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Return ml model endpoint properties
Return ml model endpoint properties
Microsoft Fabric ML Model
Microsoft Fabric ML Model
List ml models in workspace
List ml models in workspace
Microsoft Fabric ML Model
Microsoft Fabric ML Model
List ml model endpoint versions
List ml model endpoint versions
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Delete ml model
Delete ml model
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Deactivate model endpoint version
Deactivate model endpoint version
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Deactivate all model endpoint versions
Deactivate all model endpoint versions
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Create ml model in workspace
Create ml model in workspace
Microsoft Fabric ML Model
Microsoft Fabric ML Model
Activate model endpoint version
Activate model endpoint version

Microsoft Fabric ML Model
Update ml model properties
Microsoft Fabric ML Model
Update ml model endpoint version configuration
Microsoft Fabric ML Model
Update default model version for endpoint
Microsoft Fabric ML Model
Score input using specific endpoint version
Microsoft Fabric ML Model
Score input using default endpoint version
Microsoft Fabric ML Model
Return ml model properties
Microsoft Fabric ML Model
Return ml model endpoint version info
Microsoft Fabric ML Model
Return ml model endpoint properties
Microsoft Fabric ML Model
List ml models in workspace
Microsoft Fabric ML Model
List ml model endpoint versions
Microsoft Fabric ML Model
Delete ml model
Microsoft Fabric ML Model
Deactivate model endpoint version
Microsoft Fabric ML Model
Deactivate all model endpoint versions
Microsoft Fabric ML Model
Create ml model in workspace
Microsoft Fabric ML Model
Activate model endpoint version

Connect Microsoft Fabric ML Model to your AI client in three steps.

01 Connect the service

Add Microsoft Fabric ML Model in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.

02 Choose the tools

Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.

03 Connect your AI client

Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.

How the MCP Gateway governs every call

Use cases

What your AI agents can do with Microsoft Fabric ML Model

AI clients

Mindflow

Microsoft Fabric ML Model

→ Prevent deployment delays by automating the activation and deactivation of machine learning model endpoints, ensuring only valid versions serve live predictions. → Enhance model management by automatically creating and updating machine learning models in specific workspaces, streamlining model lifecycle operations. → Enable real-time prediction automation by scoring input data against the latest model endpoint versions, directly integrating AI insights into business applications.

Microsoft

Fabric

MCP servers:

Microsoft Azure Databricks Storage

Microsoft Fabric Admin

Microsoft Fabric Anomaly Detector

Microsoft Fabric Apache Airflow

Microsoft Fabric App Backend

Microsoft Fabric Copy Job

Microsoft Fabric Cosmos DB Database

Microsoft Fabric Dashboard

Microsoft Fabric Data Agent

Microsoft Fabric Data Build Tool Job

Microsoft Fabric Data Pipeline

Microsoft Fabric Dataflow

Microsoft Fabric Datamart

Microsoft Fabric Digital Twin Builder

Microsoft Fabric Digital Twin Builder Flow

Microsoft Fabric Environment

Microsoft Fabric Event Schema Set

Microsoft Fabric Eventhouse

Microsoft Fabric Eventstream

Microsoft Fabric Graph Model

Microsoft Fabric Graph Query Set

Microsoft Fabric GraphQL

Microsoft Fabric KQL Dashboard

Microsoft Fabric KQL Database

Microsoft

MCP servers:

Azure Active Directory Domain Services

Azure Active Directory Hybrid Health

Azure Active Directory Private Endpoint Connections

Azure Active Directory Private Link

Azure Advisor

Azure AI Foundry

Azure Alerts Management - Smart Detector Alert Rules

Azure API Management - API Version Sets

Azure API Management - Network Status

Azure API Management - Portal Revisions

Azure API Management - Products by Tags

Azure API Management - Subscriptions

Azure API Management - Users

Azure API Management APIs

Azure API Management Content Types

Azure API Management Deleted Services

Azure API Management Email Templates

Azure API Management Named Values

Azure API Management Notifications

Azure API Management Private Link

Azure API Management Settings

Azure API Management Tags

Azure App Configuration

Azure App Services

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Every call to Microsoft Fabric ML Model goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.

Discover the MCP Gateway

Microsoft Fabric ML Model MCP server

Live

RBAC · SecOps

Scoped credentials

Audit log

Activate model endpoint version

Allowed

Create ml model in workspace

Allowed

Deactivate all model endpoint versions

Needs approval

Deactivate model endpoint version

Blocked

Every call logged · Export to SIEM

Questions about the Microsoft Fabric ML Model MCP server

Clear answers before you connect an AI client.

What is the Microsoft Fabric ML Model MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use Microsoft Fabric ML Model through MCP?

How do I control what AI agents can do in Microsoft Fabric ML Model?

Can the same connection power automated workflows?

Questions about the Microsoft Fabric ML Model MCP server

Clear answers before you connect an AI client.

What is the Microsoft Fabric ML Model MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use Microsoft Fabric ML Model through MCP?

How do I control what AI agents can do in Microsoft Fabric ML Model?

Can the same connection power automated workflows?

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Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

Every Microsoft Fabric ML Model operation, as an MCP tool

Every Microsoft Fabric ML Model operation, as an MCP tool

Connect Microsoft Fabric ML Model to your AI client in three steps.

01

Connect the service

02

Choose the tools

03

Connect your AI client

What your AI agents can do with Microsoft Fabric ML Model

What your AI agents can do with Microsoft Fabric ML Model

More

More

Microsoft

Microsoft

Fabric

Fabric

MCP servers:

MCP servers:

More

More

Microsoft

Microsoft

MCP servers:

MCP servers:

Every call goes through one governed endpoint.

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Your AI clients get access. You keep control.

Questions about the Microsoft Fabric ML Model MCP server

Questions about the Microsoft Fabric ML Model MCP server

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.