MCP Tool Integration · Public

fabric-dw-mcp-cli

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot6 stars

0 forks · 3 contributors

Doramagic.ai Last verification date: 2026-07-13 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-13

What is fabric-dw-mcp-cli?

fabric-dw-mcp-cli helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: Developers may expose sensitive permissions or credentials: Track: measure execute_sql overuse after the MCP instructions block (needs telemetry)
Evidence base: https://github.com/sdebruyn/fabric-dw-mcp-cli, https://github.com/sdebruyn/fabric-dw-mcp-cli#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Repositorysdebruyn/fabric-dw-mcp-cli

6 stars · 0 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Overview & Architecture

Related topics: Core Features & Command Domains, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

Core Features & Command Domains

Related topics: Project Overview & Architecture, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

MCP Server & AI Agent Integration

Related topics: Project Overview & Architecture, Deployment, Configuration & Operations, Core Features & Command Domains

Sources: [src/fabric_dw/mcp/server.py:1-200](), [src/fabric_dw/mcp/tools/__init__.py:1-200](), [src/fabric_dw/mcp/_context.py:1-200](), [src/fabric_dw/mcp/_helpers.py:1-200](), [src/fabric_dw/mcp/_guards.py:1-200]().

Deployment, Configuration & Operations

Related topics: Project Overview & Architecture, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/sdebruyn/fabric-dw-mcp-cli, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars6 stars

Forks0 forks

Contributors3 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using fabric-dw-mcp-cli with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Track: set SQL connection program_name to fdw.debruyn.dev (blocked on ms
github / github_issue
02
fix(deps): cap httpx below 2.0 so the pre-release build is installable
github / github_issue
03
fix(test): sql_pools integration tests must ensure a warehouse exists (e
github / github_issue
04
feat(mcp): name the remaining tool domains in the server instructions
github / github_issue
05
fix(ci): replace uv sync --frozen with --locked in remaining workflows
github / github_issue
06
Track: measure execute_sql overuse after the MCP instructions block (nee
github / github_issue
07
test(integration): add an end-to-end journey smoke test exercising confi
github / github_issue
08
fix(ci): uv.lock is out of sync with pyproject.toml, and nothing detects
github / github_issue
09
fix(cli): leading optional ITEM positional swallows the first required a
github / github_issue
10
feat(mcp): add server instructions and steer execute_sql toward dedicate
github / github_issue
11
v2026.7.1
github / github_release
12
v2026.7.1rc1
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install fabric-dw

Official start command · https://github.com/sdebruyn/fabric-dw-mcp-cli#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

fabric-dw-mcp-cli Manual

Python CLI and MCP server for Microsoft Fabric Data Warehouses and SQL Analytics Endpoints: administer, query, optimize, and secure them from your terminal or your AI agent.

Open the full manual

https://github.com/sdebruyn/fabric-dw-mcp-cli Project Manual
Table of Contents
Project Overview & Architecture
Related Pages
Goals and Scope
High-Level Architecture
Authentication and Connection
CLI Surface

Project Overview & Architecture

Related topics: Core Features & Command Domains, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

Core Features & Command Domains

Related topics: Project Overview & Architecture, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

MCP Server & AI Agent Integration

Related topics: Project Overview & Architecture, Deployment, Configuration & Operations, Core Features & Command Domains

Sources: [src/fabric_dw/mcp/server.py:1-200](), [src/fabric_dw/mcp/tools/__init__.py:1-200](), [src/fabric_dw/mcp/_context.py:1-200](), [src/fabric_dw/mcp/_helpers.py:1-200](), [src/fabric_dw/mcp/_guards.py:1-200]().

Deployment, Configuration & Operations

Related topics: Project Overview & Architecture, MCP Server & AI Agent Integration

Source: https://github.com/sdebruyn/fabric-dw-mcp-cli / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: Track: measure execute_sql overuse after the MCP instructions block (needs telemetry)

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: feat(mcp): add server instructions and steer execute_sql toward dedicated tools

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: feat(mcp): name the remaining tool domains in the server instructions

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: fix(cli): leading optional ITEM positional swallows the first required argument

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Identity risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

Developers may fail before the first successful local run: fix(ci): replace uv sync --frozen with --locked in remaining workflows

medium

Installation risk requires verification

Developers may fail before the first successful local run: fix(ci): uv.lock is out of sync with pyproject.toml, and nothing detects it