by dynamics365ninja · MCP Server · ★ 126
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# D365 F&O MCP Server 41 AI tools that know every X++ class, table, method, and EDT in your D365FO codebase Built for D365FO developers who write X++ in Visual Studio — not for generic web dev Why this exists GitHub Copilot is great at C#, Python, and JavaScript. It struggles with X++ because it doesn't know your D365FO codebase: method signatures, field types, which CoC extensions already exist, or how your custom ISV code is structured. This MCP server pre-indexes your entire D365FO installation — 584,799+ symbols — and makes it available to Copilot as 41 specialized tools. Copilot stops guessing and starts generating code that compiles on the first try. ┌─────────────────────────┐ MCP / HTTP ┌────────────────────────────────────┐ │ GitHub Copilot │ ◄────────────► │ D365 F&O MCP Server │ │ (Agent Mode) │ │ │ │ │ │ ┌──────────────┐ ┌────────────┐ │ │ "Create a CoC for │ │ │ 584K+ symbols│ │ 19M labels │ │ │ SalesTable.insert()" │ │ │ SQLite
| Stars | 126 |
| Forks | 46 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.9257362093293/100 |
| Last Updated | 2026-08-09 |
| Created | 2026-01-20 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~16k |
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d365fo-mcp-server is Exposes 26 MCP tools that prove every method, field, label and form pattern against your real metadata before the AI writes code.. It is categorized as a MCP Server with 126 GitHub stars.
d365fo-mcp-server is primarily written in TypeScript. It covers topics such as azure, claude-code, code-completion.
You can find installation instructions and usage details in the d365fo-mcp-server GitHub repository at github.com/dynamics365ninja/d365fo-mcp-server. The project has 126 stars and 46 forks, indicating an active community.
d365fo-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to d365fo-mcp-server on Agent Skills Hub include agent-skills, Overture, codex-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.