D365fo MCP Server

D365 F&O MCP Server

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22 AI tools that know every X++ class, table, form, and EDT in your D365FO codebase

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Grounded AI development for Dynamics 365 Finance & Operations — works with GitHub Copilot and Claude Code

These connect an editor to a server that is already deployed — see Quick Start if you still need to set one up.

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Why

AI assistants excel at C#, Python, and JavaScript. X++ is different: your D365FO codebase is private, deeply customized, and invisible to every model — so AI confidently generates code that doesn't compile.

This server pre-indexes your entire D365FO installation (580 000+ symbols across standard, ISV, and custom models) and exposes it as 22 specialized MCP tools (axdb_sql and trace_d365fo only once configured). Every signature, every CoC wrapper, every label, every form pattern — verified against your real metadata before the AI writes a single line.

Task	Without this server	With this server
Method signatures	Guessed → compile errors	Exact, from your codebase
Existing CoC wrappers	Manual AOT search	extension_info(mode="coc") in < 50 ms
New forms	Hand-written XML, broken patterns	Cloned from reference forms, validated against the pattern catalog
Labels	Hardcoded strings	Right @SYS/@MODULE key found instantly
Security chains	Hours of manual tracing	Role → Duty → Privilege → Entry Point in one call
Generated code	Hallucinated fields and types	Every reference proven against the index, gated before write

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Capabilities

Feature	Description
🔍 Full-codebase intelligence	580K+ symbols indexed: classes, tables, forms, EDTs, enums, labels (20M+ rows), security artifacts — FTS5 search in < 10 ms
🛡️ Grounded generation	Fail-closed gates: prepare issues grounding tokens, validate_code(mode="references") proves every identifier, validate_code(mode="syntax") enforces best practices — hallucinated code never reaches disk
🧩 Form pattern engine	Complete catalog of Microsoft form patterns and sub-patterns: recommends the right pattern, clones reference forms with datasource re-binding, deterministically expands patterns that have no reference form, auto-repairs a form's missing required controls, validates structure and blocks invalid writes
✍️ Safe metadata writes	C# bridge uses Microsoft's own IMetadataProvider wherever it can express the object; the few types and ops it cannot go through structured XML writers with ambiguity guards — never blind string replacement. Automatic .rnrproj registration, one-call undo
🏗️ SDLC integration	MSBuild compilation with structured diagnostics, DB sync, xppbp best practices, SysTestRunner — all from chat. Optional restartAos: true refreshes the matching local IIS/IIS Express runtime after a successful build and requested sync. Runtime restart
🗄️ Optional AxDB SQL	Off by default and not even published until configured: axdb_sql runs read-only, parameterized queries against AxDB on the development VM, so the agent can check what the code actually persisted. Windows authentication; one SELECT checked on the parsed T-SQL tree, inside a transaction that is always rolled back; no result cache. Setup
⏱️ Optional performance trace	Off by default and not published until enabled: trace_d365fo captures the AOS's ETW events (X++ method enter/exit, SQL latency) on the development VM while the agent — or you — reproduce a slow scenario, and analyses the capture: where the time goes per method, which statements run thousands of times from one caller. No timer code added to the application; parameter values never returned. Setup and accuracy
📐 X++ knowledge base	Queryable rules: select grammar, CoC authoring, financial dimensions, the posting engine (LedgerVoucher), number sequences, SysExtension, Electronic Reporting, AX2012→D365FO migration — prevents deprecated APIs

Pattern-grounded form development

Forms are the hardest artifact to generate correctly — each pattern dictates required containers, ordering, and allowed sub-patterns. The form pattern engine makes it a guided pipeline:

flowchart LR
    A["object_patterns<br/>(domain=form, action=analyze)"] --> B["object_patterns<br/>(domain=form, action=spec)"]
    B --> C["generate_object<br/>objectType=form, cloneFrom"]
    C --> D["object_patterns<br/>(domain=form, action=validate) FP001–FP011"]
    D -->|clean| E["d365fo_file<br/>(action=create) write + project"]
    D -->|errors| C

Structural violations (wrong order, missing container, disallowed control) block the write — recommendations only warn. Mined pattern statistics from your own environment ground every suggestion in reality.

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Quick Start

From D365FO platform update 10.0.49 (PU74), Visual Studio 2026 is the supported IDE for X++ development — Microsoft no longer supports VS 2022. Earlier platform versions still use VS 2022 ≥ 17.14. Details

Installing on your own D365FO VM — the usual case. One line in PowerShell installs Node.js if it is missing, installs the server from npm, and runs the setup wizard, which asks where the index should live and builds the C# bridge for you:

irm https://raw.githubusercontent.com/dynamics365ninja/d365fo-mcp-server/main/install.ps1 | iex

Already have Node.js 24+? Then the one-liner has nothing to bootstrap and you can skip it:

npm install -g d365fo-mcp
d365fo-mcp setup

Re-running either is safe. An installation made before the npm package existed is a git checkout, and both are left exactly where they are and updated in place.

Your team already runs a shared server? Then you install nothing — point your editor at it:

npx d365fo-mcp connect https://your-server.azurewebsites.net

Both paths in full — prerequisites, editor configuration for every scenario, the required instruction file, and how to verify grounding actually works: docs/QUICK_START.md

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Azure Deployment

One shared instance for the whole team — the metadata index lives in Blob Storage and downloads automatically on startup.

Deployment guide: docs/SETUP_AZURE.md — includes CI/CD pipeline automation

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Documentation

Getting started	Reference	Operations
Quick Start — connect or install	All 22 tools	Azure deployment
Setup scenarios A–F	.mcp.json reference	DevOps pipelines
Claude Code setup	Configuration	Testing
Usage examples — real tool chains	Architecture	Custom / ISV models
Changelog	Knowledge authoring	Coverage — what the badge counts
Backlog — deferred work	New tool checklist	Eval loop — the self-improvement harness

License

MIT