DataFactory.MCP CLAUDE.md

A project guide for DataFactory.MCP, a .NET server that connects AI clients to Microsoft Fabric Data Factory operations.

In plain words
What is it for?
Use it when developing, testing, or running the server, or when working with its skills and data queries.
Why use it?
It explains the repository layout, build and test commands, and data-query rules agents need to follow.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/microsoft/datafactory.mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/microsoft/DataFactory.MCP
Per session 248 This file is loaded in full into every session.
When invoked 248 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00248 $0.00248
Opus 5 $0.00124 $0.00124
Sonnet 5 $0.00050 $0.00050
Haiku 4.5 $0.00025 $0.00025

Measured 2d ago against content hash e259108cdf86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

DataFactory.MCP CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 37 lines

What it actually says

Data Factory MCP Server

.NET MCP server for Microsoft Fabric Data Factory operations.

Project Structure

  • DataFactory.MCP/ — Main MCP server
  • DataFactory.MCP.Core/ — Core library
  • DataFactory.MCP.Http/ — HTTP transport
  • DataFactory.MCP.Tests/ — Test suite
  • claude-skills/ — Skill definitions for Claude

Development

# Build
dotnet build

# Test
dotnet test

# Run server
dotnet run --project DataFactory.MCP

Skills

Read claude-skills/SKILL.md before working with skills. Uses RAG pattern:

  • datafactory-core.md — Always loaded
  • Other files load on-demand based on topic triggers

Critical Rules

  • Never sample data with Table.FirstN — use chunking strategies instead
  • When queries timeout, chunk by date/ID/region, then aggregate
  • Filter early to enable query folding
  • Place expensive operations (sort) at the end

State Files

Working state in .claude/state/. Read current-task.md to resume.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 37 lines · 248 tokens per session scan A e259108cdf86

Subscribe to this mod's changes

DataFactory.MCP CLAUDE.md is an instructions file published in the GitHub repository microsoft/DataFactory.MCP (42 stars, last pushed 20d ago), licensed MIT. It adds 248 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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