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MCP Server Solidworks

@eyfel

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

eyfel

MCP Server Solidworks について

This MCP server integrates with SolidWorks API and structuring it into Claude-compatible context streams.

#mcp-server#solidworks#ai-assistant

接続前の確認

文書確認日：2026-10-25

適した用途

eyfel のリポジトリは現在 SolidPilot を案内しています。SolidWorks 実行レイヤーと Python MCP アダプターを使い、汎用のクロスプラットフォーム CAD サーバーではありません。

設定と制限

現在の要件は Windows と SolidWorks 2026 です。C# 実行レイヤーをビルド・起動し、Python 側の依存関係とパスを設定します。旧環境を流用する前に対応版を確認してください。

リンク先の文書を確認した内容です。認証済みの実接続テストを意味しません。確認手順はご自身の環境で実行してください。

上流ドキュメントを見る関連サーバーを比較

MCP Server Solidworks の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Server Solidworks のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mcp-server-solidworks?

An MCP server that lets AI models work with SolidWorks at the CAD feature level. It converts user intent into a CAD-neutral intermediate representation, then a deterministic compiler lowers it into concrete SolidWorks operations. Designed for any MCP-capable AI client (Claude, OpenClaw, OpenAI agents, local LLMs).

How to use mcp-server-solidworks?

Requires Windows, SolidWorks 2026, .NET Framework 4.8, and Python 3.x. Build the C# execution layer with MSBuild, run it as a headless server on http://localhost:5000, then run the Python adapter with FastMCP. Register the adapter with an MCP-capable AI client by adding an entry to its mcpServers config (e.g., Claude Desktop’s claude_desktop_config.json). Restart the client after any config change.

Key features of mcp-server-solidworks

  • Raises abstraction from thousands of API methods to feature-level intent.
  • CAD-neutral Feature Graph IR as intermediate representation.
  • Deterministic compiler lowers IR into ordered SolidWorks operations.
  • Open MCP standard; not tied to any single AI client.
  • Roughly three dozen low-level tools for modeling, sketching, drawing, and export.
  • Contract test keeps adapter and execution layer in exact sync.

Use cases of mcp-server-solidworks

  • Automate repetitive CAD part creation (sketches, extrusures, patterns, sheet metal).
  • Generate dimensioned multi-view drawings from existing models.
  • Reverse-engineer a part by reading a drawing’s 2D geometry.
  • Batch export models to STEP, IGES, STL, PDF, DWG, DXF.
  • Run CAD workflows with any MCP-capable AI agent.

よくある質問

1

What are the runtime and dependency requirements?

Windows, SolidWorks 2026, .NET Framework 4.8, and Python 3.x. The adapter requires the FastMCP package. The execution layer communicates over REST at `http://localhost:5000`.

2

How does it avoid the tool explosion problem common in AI+CAD integrations?

It raises the abstraction level: the AI reasons in terms of CAD features (e.g., “put a hole in the top face”), not individual API methods. A deterministic compiler converts that intent into the concrete SolidWorks operations, reducing the number of model calls per request.

3

Is the Feature Graph IR and compiler ready for production use?

No. The IR schema is drafted and an experimental path exists behind a flag (`SOLIDPILOT_ENABLE_IR=true`), but the full compiler (especially the reference resolver) is not yet implemented. The current working path uses low-level MCP tools directly.

4

What transports and authentication does it use?

The adapter communicates with the execution layer via plain REST. MCP sits at the top as the AI-client-facing boundary. No authentication mechanism is mentioned; the server is assumed to run locally.

5

What is the project status?

Early alpha. Part-modeling tools are most mature. Drawing tools are a maturing capability. The strategic IR+compiler path is not yet built. Section views are experimental and not reliable under automation.

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