Microsoft Fabric MCP Server NPM Package

A local-first Model Context Protocol (MCP) server that provides AI agents with comprehensive access to Microsoft Fabric's public APIs, item definitions, and best practices. The Fabric MCP Server packages complete OpenAPI specifications into a single context layer for AI-assisted development—without connecting to live Fabric environments.

Table of Contents

• Overview
• Installation
  • IDE
    • VS Code (Recommended)
    • Manual Setup
• Usage
  • Getting Started
  • What can you do with the Fabric MCP Server?
    • Fabric Workloads & APIs
    • Resource Definitions & Schemas
    • Best Practices & Examples
    • Development Workflows
  • Available Tools
    • API Documentation & Best Practices
    • OneLake Data Operations
    • Core Fabric Operations
• Support and Reference
  • Documentation
  • Feedback and Support
  • Security
  • Data Collection
  • Contributing
  • Code of Conduct
• License

Overview

Microsoft Fabric MCP Server gives your AI agents the knowledge they need to generate robust, production-ready code for Microsoft Fabric—all without directly accessing your environment.

Key capabilities:

• Complete API Context: Full OpenAPI specifications for all supported Fabric workloads
• Item Definition Knowledge: JSON schemas for every Fabric item type (Lakehouses, pipelines, semantic models, notebooks, etc.)
• Built-in Best Practices: Embedded guidance on pagination, error handling, and recommended patterns
• Local-First Security: Runs entirely on your machine—never connects to your Fabric environment

Installation

• To use Fabric MCP server from node one must have Node.js (LTS) installed and available on your system PATH — this provides both npm and npx. We recommend Node.js 20 LTS or later. To verify your installation run: node --version, npm --version, and npx --version.

• Configure the mcp.json file with the following:

  {
      "mcpServers": {
          "fabric-mcp-server": {
          "command": "npx",
          "args": [
              "-y",
              "@microsoft/fabric-mcp@latest",
              "server",
              "start",
              "--mode",
              "all"
              ]
          }
      }
  }

Note: When manually configuring Visual Studio and Visual Studio Code, use servers instead of mcpServers as the root object.

Client-Specific Configuration | IDE | File Location | Documentation Link | |-----|---------------|-------------------| | Claude Code | ~/.claude.json or .mcp.json (project) | Claude Code MCP Configuration | | Claude Desktop | ~/.claude/claude_desktop_config.json (macOS)%APPDATA%\Claude\claude_desktop_config.json (Windows) | Claude Desktop MCP Setup | | Cursor | ~/.cursor/mcp.json or .cursor/mcp.json | Cursor MCP Documentation | | VS Code | .vscode/mcp.json (workspace)settings.json (user) | VS Code MCP Documentation | | Windsurf | ~/.codeium/windsurf/mcp_config.json | Windsurf Cascade MCP Integration |

Usage

Getting Started

1. Open GitHub Copilot in VS Code and switch to Agent mode.
2. Click refresh on the tools list
   • You should see the Fabric MCP Server in the list of tools
3. Try a prompt that uses Fabric context, such as What Fabric workload types are available?
   • The agent should be able to use the Fabric MCP Server tools to complete your query
4. Check out the Microsoft Fabric documentation and review the troubleshooting guide for commonly asked questions
5. We're building this in the open. Your feedback is much appreciated!
   • Open an issue in the public repository

What can you do with the Fabric MCP Server?

The Fabric MCP Server supercharges your agents with Microsoft Fabric context. Here are some prompts you can try:

Fabric Workloads & APIs

• "What are the available Fabric workload types I can work with?"
• "Show me the OpenAPI operations for 'notebook' and give a sample creation body"
• "Get the platform-level API specifications for Microsoft Fabric"
• "List all supported Fabric item types"

Resource Definitions & Schemas

• "Create a Lakehouse resource definition with a schema that enforces a string column and a datetime column"
• "Show me the JSON schema for a Data Pipeline item definition"
• "Generate a Semantic Model configuration with sample measures"
• "What properties are required for creating a KQL Database?"

Best Practices & Examples

• "Show me best practices for handling API throttling in Fabric"
• "How should I implement retry logic for Fabric API rate limits?"
• "List recommended retry/backoff behavior for Fabric APIs when rate-limited"
• "Show me best practices for authenticating with Fabric APIs"
• "Get example request/response payloads for creating a Notebook"
• "What are the pagination patterns for Fabric REST APIs?"

Development Workflows

• "Generate a data pipeline configuration with sample data sources"
• "Help me scaffold a Fabric workspace with Lakehouse and notebooks"
• "Show me how to handle long-running operations in Fabric APIs"
• "What's the recommended error handling pattern for Fabric API calls?"

Available Tools

The Fabric MCP Server exposes tools organized into three categories:

API Documentation & Best Practices

| Tool Name | Description | |-----------|-------------| | docs_workloads | Lists Fabric workload types that have public API specifications available. | | docs_workload-api-spec | Retrieves the complete OpenAPI specification for a specific Fabric workload. | | docs_platform-api-spec | Retrieves the OpenAPI specification for core Fabric platform APIs. | | docs_item-definitions | Retrieves JSON schema definitions for items in a Fabric workload API. | | docs_best-practices | Retrieves best practice documentation and guidance for a specific topic. | | docs_api-examples | Retrieves example API request/response files for a specific workload. |

OneLake Data Operations

| Tool Name | Description | |-----------|-------------| | onelake_list_workspaces | Lists available Microsoft Fabric workspaces. | | onelake_list_items | Lists workspace items with high-level metadata. | | onelake_list_items_dfs | Lists Fabric items via the DFS endpoint. | | onelake_list_files | Lists files using the hierarchical file-list endpoint. | | onelake_download_file | Downloads a OneLake file. | | onelake_upload_file | Uploads a file to OneLake storage. | | onelake_delete_file | Deletes a file from OneLake storage. | | onelake_create_directory | Creates a directory via the DFS endpoint. | | onelake_delete_directory | Deletes a directory (optionally recursive). | | onelake_get_table_config | Retrieves table API configuration for a workspace item. | | onelake_list_table_namespaces | Lists table namespaces (schemas) exposed through the table API. | | onelake_get_table_namespace | Retrieves metadata for a specific namespace. | | onelake_list_tables | Lists tables published within a namespace. | | onelake_get_table | Retrieves the definition for a specific table. |

Core Fabric Operations

| Tool Name | Description | |-----------|-------------| | core_create-item | Creates new Fabric items (Lakehouses, Notebooks, etc.). |

Always verify available commands via --help. Command names and availability may change between releases.

Support and Reference

Documentation

• See the Microsoft Fabric documentation to learn about the Microsoft Fabric platform.
• For MCP server-specific troubleshooting, see the Troubleshooting Guide.

Feedback and Support

• The Microsoft Fabric MCP Server is an open-source project in Public Preview. Support for this server implementation is primarily provided through community channels and GitHub repositories. Customers with qualifying Microsoft enterprise support agreements may have access to limited support for broader Microsoft Fabric and platform scenarios; review the Microsoft Support Policy section of this project for more details.
• Check the Troubleshooting guide to diagnose and resolve common issues.
• We're building this in the open. Your feedback is much appreciated!
  • Open an issue in the public GitHub repository — we'd love to hear from you!

Security

The Fabric MCP Server is a local-first tool that runs entirely on your machine. It provides API specifications, schemas, and best practices without connecting to live Microsoft Fabric environments.

MCP as a phenomenon is very novel and cutting-edge. As with all new technology standards, consider doing a security review to ensure any systems that integrate with MCP servers follow all regulations and standards your system is expected to adhere to.

Data Collection

The software may collect information about you and your use of the software and send it to Microsoft. Microsoft may use this information to provide services and improve our products and services. You may turn off the telemetry as described in the repository. There are also some features in the software that may enable you and Microsoft to collect data from users of your applications. If you use these features, you must comply with applicable law, including providing appropriate notices to users of your applications together with a copy of Microsoft's privacy statement. You can learn more about data collection and use in the help documentation and our privacy statement. Your use of the software operates as your consent to these practices.

Contributing

We welcome contributions to the Fabric MCP Server! Whether you're fixing bugs, adding new features, or improving documentation, your contributions are welcome.

Please read our Contributing Guide for guidelines on:

• Setting up your development environment
• Adding new commands
• Code style and testing requirements
• Making pull requests

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information, see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

License

This project is licensed under the MIT License — see the LICENSE file for details.