Fabric-Analytics-MCP

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

→ santhoshravindran7/Fabric-Analytics-MCP · listed on glama

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

⚠️

Known vulnerabilities in dependencies: 3 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

⚠️

Tests do not pass

Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 2 credentials: FABRIC_CLIENT_SECRET, FABRIC_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configALLOW_UNSAFE_STDOUT

configENABLE_HEALTH_SERVER— "": "false"

configFABRIC_AUTH_METHOD— "": "bearer_token",

configFABRIC_CLIENT_ID— docker run -p 3000:3000 -e =xxx fabric-analytics-mcp

🔐 secretFABRIC_CLIENT_SECRET— export ACR_NAME="your-registry" FABRIC_CLIENT_ID="xxx" ="yyy" FABRIC_TENANT_ID="zzz"

configFABRIC_DEFAULT_WORKSPACE_ID— export =your-workspace-id

configFABRIC_TENANT_ID— export ACR_NAME="your-registry" FABRIC_CLIENT_ID="xxx" FABRIC_CLIENT_SECRET="yyy" ="zzz"

🔐 secretFABRIC_TOKEN— "": "your_bearer_token_here",

configPORT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/santhoshravindran7-fabric-analytics-mcp-1um4qw)](https://m8ven.ai/mcp/santhoshravindran7-fabric-analytics-mcp-1um4qw)

commit: 6781eb2436c652c8e560858698563e438c4747b5

code hash: 9bd1ba88788e14ef941be688bc04cebdb368e3579a37b705836307b73807f1dd

verified: 4/18/2026, 7:02:39 PM

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