n8n-workflow-builder-mcp
n8n Workflow Builder MCP
n8nワークフローを構築および操作するためのModel Context Protocol (MCP) サーバーです。AIへのプロンプトだけでn8nワークフローを構築できます。Claude Code、VS Code、Cursor、およびMCP互換クライアントで動作します。
デモ動画:
Cursorルール
ルールファイルは
rules/n8n-mcp-server-rules.mdcにあります
Related MCP server: mcp-n8n-builder
主な機能
ワークフロー管理: n8nワークフローをプログラムで作成、更新、実行(実行は未実装)
ノード探索: 利用可能なn8nノードとその機能を探索
接続管理: ワークフローノード間の接続を作成
AI統合: ワークフロー内のAIコンポーネントを接続するための特別なツール
AIフレンドリーなインターフェース: AIエージェントとの対話用に特別に設計
N8Nバージョン管理: 自動バージョン検出と互換性処理 - 184以上のn8nバージョン(1.86.0 – 2.6.2)をサポート。動的なノードフィルタリングと、後方互換性のための「最も近い下位バージョン」マッチング機能付き
前提条件
Node.js (v18以上)
npm (npxコマンド用)
MCP互換クライアント (Claude Code, VS Code, Cursorなど)
インストールとセットアップ
n8n APIキーの取得
ブラウザでn8nインスタンスを開く
Settings > API Keys に移動
Create API Key をクリック
生成されたキーをコピーし、設定で使用する
Claude Code (推奨)
Claude Code CLIを使用してMCPサーバーを追加します:
claude mcp add n8n-workflow-builder -- npx -y n8n-workflow-builder-mcp次に、環境変数を設定します:
claude mcp add n8n-workflow-builder \
-e N8N_API_URL=http://localhost:5678 \
-e N8N_API_KEY=your-n8n-api-key-here \
-- npx -y n8n-workflow-builder-mcp
N8N_VERSIONはオプションです。サーバーがAPIから自動的に検出します。
VS Code / Cursor
MCP設定ファイルに追加します(VS Codeの場合は .vscode/mcp.json、Cursorの場合は .cursor/mcp.json):
{
"mcpServers": {
"n8n-workflow-builder": {
"command": "npx",
"args": ["-y", "n8n-workflow-builder-mcp"],
"env": {
"N8N_API_URL": "http://localhost:5678",
"N8N_API_KEY": "your-n8n-api-key-here"
}
}
}
}変更を反映させるためにIDEを再起動してください。
開発用インストール
開発やローカルテストを行う場合は、ソースからクローンしてビルドします:
git clone https://github.com/ifmelate/n8n-workflow-builder-mcp.git
cd n8n-workflow-builder-mcp
npm install
npm run build次に、MCPクライアントをビルドされたエントリポイントに向けます:
# Claude Code
claude mcp add n8n-workflow-builder -- node /absolute/path/to/n8n-workflow-builder-mcp/dist/index.js
# VS Code / Cursor — use the same JSON config above with "command": "node" and "args": ["/absolute/path/to/dist/index.js"]自動リビルド付きの開発用:
npm run dev利用可能なMCPツール
n8nワークフローを操作するために、サーバーは以下のツールを提供します:
コアワークフロー管理
ツール名 | 説明 | 主要パラメータ |
create_workflow | 新しいn8nワークフローを作成 |
|
list_workflows | ワークスペース内のワークフローを一覧表示 |
|
get_workflow_details | 特定のワークフローの詳細情報を取得 |
|
validate_workflow | ノードスキーマと接続性に基づいてワークフローファイルを検証 |
|
ノード管理
ツール名 | 説明 | 主要パラメータ |
add_node | ワークフローに新しいノードを追加 |
|
edit_node | ワークフロー内の既存ノードを編集 |
|
delete_node | ワークフローからノードを削除 |
|
list_available_nodes | オプションのフィルタリング付きで利用可能なノードタイプを一覧表示。タグ形式の同義語やマルチトークンのOR/ANDロジックをサポート |
|
接続管理
ツール名 | 説明 | 主要パラメータ |
add_connection | 2つのノード間に接続を作成 |
|
add_ai_connections | AIモデル、ツール、メモリをエージェントに接続 |
|
connect_main_chain | AIワークフローノードを通る最小限のメインパスを構築 (トリガー → モデル → メモリ → エンベディング → ドキュメントローダー → ベクターストア → ベクターツール → エージェント) |
|
ワークフローの計画と構成
ツール名 | 説明 | 主要パラメータ |
plan_workflow | ワークフローを更新するための非破壊的な計画(ノードと接続)を作成。ファイルへの書き込みは行わない |
|
review_workflow_plan | 計画をメモリ上で適用し、検証エラー、警告、推奨される修正を返す。ファイルへの書き込みは行わない |
|
apply_workflow_plan | 事前にレビューされた計画をディスク上のワークフローに適用(アトミック書き込み) |
|
compose_ai_workflow | 複雑なAIワークフロー(エージェント + モデル + メモリ + エンベディング + ベクター + ツール + トリガー)を1回の呼び出しで構成(接続と基本的な検証を含む) |
|
パラメータ管理
ツール名 | 説明 | 主要パラメータ |
suggest_node_params | デフォルト値と必須フィールドを使用して、ノードタイプの最小限の有効なパラメータを提案 |
|
list_missing_parameters | 可視性ルールを考慮して、ノードに不足している必須パラメータを一覧表示 |
|
fix_node_params | 不足している必須フィールドに対してデフォルト値を適用したパラメータを返す |
|
テンプレートと探索
ツール名 | 説明 | 主要パラメータ |
list_template_examples | 無料テンプレートから抽出されたノードの使用例を一覧表示。node_typeまたはtemplate_nameでフィルタリング |
|
get_n8n_version_info | 現在のN8Nバージョンと機能を取得 |
|
検証動作
validate_workflow は警告をエラーに昇格させ、さらに有効化されたノードが(直接またはAIポート経由で)推論された startNode から始まるメインチェーンに接続されていない場合に失敗します。接続性を修正するには connect_from/connect_to または add_ai_connections を使用してください。
トラブルシューティング
全般
MCP設定を確認 — JSONが有効であり、サーバー名が一致していることを確認してください。
Node.jsを更新 — 最新のLTSバージョンに更新してください。
npmキャッシュをクリア — npxが失敗する場合:
npm cache clean --forceグローバルインストールを試す — フォールバックとして:
npm install -g n8n-workflow-builder-mcp
Claude Code
claude mcp listを実行して、サーバーが登録されていることを確認してください。claude mcp logs n8n-workflow-builderでログを確認してください。
VS Code / Cursor
出力パネルを確認 — ドロップダウンから「MCP」を選択してサーバーログを表示してください。
Settings > Features > MCP Servers でサーバーが有効になっていることを確認してください。
設定変更後はIDEを再起動してください。
プロジェクト構造
/src: メインソースコード/src/tools: MCPツール実装/src/models: データモデル/src/utils: ユーティリティ関数/src/middleware: 認証とミドルウェア/config: 設定ファイル/tests: テストファイル/workflow_nodes: n8nノード定義/docs: 追加ドキュメント
貢献
貢献を歓迎します!お気軽にプルリクエストを送信してください。
リポジトリをフォーク
フィーチャーブランチを作成 (
git checkout -b feature/amazing-feature)変更をコミット (
git commit -m 'Add some amazing feature')ブランチにプッシュ (
git push origin feature/amazing-feature)プルリクエストを開く
ライセンス
MITライセンス
Available Tools
10 toolsadd_ai_connectionsD
| Name | Required | Description | Default |
|---|---|---|---|
| agent_node_id | Yes | The ID of the agent node that will use the model and tools | |
| memory_node_id | No | The ID of the memory node (optional) | |
| model_node_id | No | The ID of the language model node (optional) | |
| tool_node_ids | No | Array of tool node IDs to connect to the agent (optional) | |
| workflow_name | Yes | The Name of the workflow to add the AI connections to |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
add_connectionD
| Name | Required | Description | Default |
|---|---|---|---|
| source_node_id | Yes | The ID of the source node for the connection | |
| source_node_output_name | Yes | The name of the output handle on the source node (e.g., 'main') | |
| target_node_id | Yes | The ID of the target node for the connection | |
| target_node_input_index | No | The index for the target node's input handle (default: 0) | |
| target_node_input_name | Yes | The name of the input handle on the target node (e.g., 'main') | |
| workflow_name | Yes | The Name of the workflow to add the connection to |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
add_nodeD
| Name | Required | Description | Default |
|---|---|---|---|
| node_name | No | The name for the new node (e.g., 'My Gmail Node') | |
| node_type | Yes | The type of node to add (e.g., 'gmail', 'slack', 'openAi'). You can specify with or without the 'n8n-nodes-base.' prefix. The system will handle proper casing (e.g., 'openai' will be converted to 'openAi' if that's the correct casing). | |
| parameters | No | The parameters for the node | |
| position | No | The position of the node {x,y} - will be converted to [x,y] for N8nWorkflowNode | |
| typeVersion | No | The type version for the node (e.g., 1, 1.1). Defaults to 1 if not specified. | |
| webhookId | No | Optional webhook ID for certain node types like triggers. | |
| workflow_name | Yes | The Name of the workflow to add the node to | |
| workflow_path | No | Optional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_workflowD
| Name | Required | Description | Default |
|---|---|---|---|
| workflow_name | Yes | The name for the new workflow | |
| workspace_dir | Yes | Absolute path to the project root directory where workflow_data will be stored |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_nodeD
| Name | Required | Description | Default |
|---|---|---|---|
| node_id | Yes | The ID of the node to delete | |
| workflow_name | Yes | The Name of the workflow containing the node | |
| workflow_path | No | Optional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
edit_nodeD
| Name | Required | Description | Default |
|---|---|---|---|
| node_id | Yes | The ID of the node to edit | |
| node_name | No | The new name for the node | |
| node_type | No | The new type for the node (e.g., 'gmail', 'slack', 'openAi'). You can specify with or without the 'n8n-nodes-base.' prefix. The system will handle proper casing (e.g., 'openai' will be converted to 'openAi' if that's the correct casing). | |
| parameters | No | The new parameters | |
| position | No | The new position {x,y} - will be converted to [x,y] | |
| typeVersion | No | The new type version for the node | |
| webhookId | No | Optional new webhook ID for the node. | |
| workflow_name | Yes | The Name of the workflow containing the node | |
| workflow_path | No | Optional workflow path to the workflow file |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_n8n_version_infoD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_workflow_detailsD
| Name | Required | Description | Default |
|---|---|---|---|
| workflow_name | Yes | The Name of the workflow to get details for | |
| workflow_path | No | Optional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_available_nodesD
| Name | Required | Description | Default |
|---|---|---|---|
| n8n_version | No | Filter nodes by N8N version compatibility. If not provided, uses current configured N8N version. | |
| search_term | No | An optional search term to filter nodes by their name, type, or description. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_workflowsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
10 tool updates
v1.0.0- First observed
add_ai_connections - First observed
add_connection - First observed
add_node - First observed
create_workflow - First observed
delete_node - First observed
edit_node - First observed
get_n8n_version_info - First observed
get_workflow_details - First observed
list_available_nodes - First observed
list_workflows
TDQS
Scored across 10 tools
Most tools have distinct purposes targeting different aspects of n8n workflow management (e.g., create_workflow vs. list_workflows, add_node vs. edit_node vs. delete_node). However, add_ai_connections and add_connection could potentially be confused without descriptions, as their relationship is unclear—they might overlap in handling connections.
All tool names follow a consistent verb_noun pattern with snake_case throughout (e.g., add_connection, create_workflow, get_workflow_details). There are no deviations in naming conventions, making the set predictable and readable.
With 10 tools, the count is well-scoped for a workflow builder server, covering core operations like creating, listing, and managing workflows and nodes. Each tool appears to earn its place without being excessive or insufficient for the domain.
The tools cover basic CRUD operations for workflows and nodes (create, list, get, edit, delete), but there are notable gaps. For example, there's no update_workflow or delete_workflow tool, and the absence of descriptions makes it hard to assess if AI connections and general connections are fully covered, potentially leaving dead ends in workflow management.
Maintenance
Related MCP Connectors
Open-source Zapier/n8n alternative as an MCP server: agents build, run and debug your workflows.
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