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n8n-workflow-builder-mcp

by ifmelate

n8n Workflow Builder MCP

Ein Model Context Protocol (MCP) Server zum Erstellen und Bearbeiten von n8n-Workflows. Erstellen Sie n8n-Workflows einfach per KI-Prompt – funktioniert mit Claude Code, VS Code, Cursor und jedem MCP-kompatiblen Client.

DEMO-VIDEO:

Video ansehen

Cursor-Regeln

  • Die Datei mit den Regeln befindet sich unter rules/n8n-mcp-server-rules.mdc

Related MCP server: mcp-n8n-builder

Hauptfunktionen

  • Workflow-Verwaltung: Erstellen, Aktualisieren und Ausführen von n8n-Workflows per Programmcode (Ausführung ist noch nicht implementiert)

  • Node-Discovery: Erkunden Sie verfügbare n8n-Nodes und deren Funktionen

  • Verbindungsverwaltung: Erstellen Sie Verbindungen zwischen Workflow-Nodes

  • KI-Integration: Spezielle Tools zum Verbinden von KI-Komponenten in Workflows

  • KI-freundliche Schnittstelle: Speziell für die Interaktion mit KI-Agenten entwickelt

  • n8n-Versionsverwaltung: Automatische Versionserkennung und Kompatibilitätsbehandlung – unterstützt über 184 n8n-Versionen (1.86.0 – 2.6.2) mit dynamischer Node-Filterung und "Closest Lower Version"-Matching für Abwärtskompatibilität

Voraussetzungen

  • Node.js (v18 oder höher)

  • npm (für den npx-Befehl)

  • Ein MCP-kompatibler Client (Claude Code, VS Code, Cursor, etc.)

Installation & Einrichtung

Abrufen Ihres n8n-API-Schlüssels

  1. Öffnen Sie Ihre n8n-Instanz im Browser

  2. Gehen Sie zu Settings > API Keys

  3. Klicken Sie auf Create API Key

  4. Kopieren Sie den generierten Schlüssel und verwenden Sie ihn in Ihrer Konfiguration

Claude Code (Empfohlen)

Fügen Sie den MCP-Server über die Claude Code CLI hinzu:

claude mcp add n8n-workflow-builder -- npx -y n8n-workflow-builder-mcp

Setzen Sie dann die Umgebungsvariablen:

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 ist optional – der Server erkennt sie automatisch über die API.

VS Code / Cursor

Fügen Sie dies zu Ihrer MCP-Konfigurationsdatei hinzu (.vscode/mcp.json für VS Code, .cursor/mcp.json für Cursor):

{
  "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"
      }
    }
  }
}

Starten Sie Ihre IDE neu, damit die Änderungen wirksam werden.

Entwicklungsinstallation

Für die Entwicklung oder lokale Tests klonen und bauen Sie aus dem Quellcode:

git clone https://github.com/ifmelate/n8n-workflow-builder-mcp.git
cd n8n-workflow-builder-mcp
npm install
npm run build

Verweisen Sie dann Ihren MCP-Client auf den gebauten Einstiegspunkt:

# 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"]

Für die Entwicklung mit automatischem Rebuild:

npm run dev

Verfügbare MCP-Tools

Der Server stellt die folgenden Tools für die Arbeit mit n8n-Workflows bereit:

Kern-Workflow-Verwaltung

Tool-Name

Beschreibung

Wichtige Parameter

create_workflow

Erstellt einen neuen n8n-Workflow

workflow_name, workspace_dir

list_workflows

Listet Workflows im Arbeitsbereich auf

limit (optional), cursor (optional)

get_workflow_details

Ruft detaillierte Informationen zu einem bestimmten Workflow ab

workflow_name, workflow_path (optional)

validate_workflow

Validiert eine Workflow-Datei anhand von Node-Schemas und Konnektivität

workflow_name, workflow_path (optional)

Node-Verwaltung

Tool-Name

Beschreibung

Wichtige Parameter

add_node

Fügt einem Workflow einen neuen Node hinzu

workflow_name, node_type, position (optional), parameters (optional), node_name (optional), typeVersion (optional), webhookId (optional), workflow_path (optional), connect_from (optional), connect_to (optional)

edit_node

Bearbeitet einen vorhandenen Node in einem Workflow

workflow_name, node_id, node_type (optional), node_name (optional), position (optional), parameters (optional), typeVersion (optional), webhookId (optional), workflow_path (optional), connect_from (optional), connect_to (optional)

delete_node

Löscht einen Node aus einem Workflow

workflow_name, node_id, workflow_path (optional)

list_available_nodes

Listet verfügbare Node-Typen mit optionaler Filterung auf. Unterstützt Tag-artige Synonyme und Multi-Token-OR/AND-Logik

search_term (optional), n8n_version (optional), limit (optional), cursor (optional), tags (optional, Standard: true), token_logic (optional: 'or' Standard, oder 'and')

Verbindungsverwaltung

Tool-Name

Beschreibung

Wichtige Parameter

add_connection

Erstellt eine Verbindung zwischen zwei Nodes

workflow_name, source_node_id, source_node_output_name, target_node_id, target_node_input_name, target_node_input_index (optional), workflow_path (optional)

add_ai_connections

Verbindet KI-Modell, Tools und Speicher mit einem Agenten

workflow_name, agent_node_id, model_node_id (optional), tool_node_ids (optional), memory_node_id (optional), embeddings_node_id (optional), vector_store_node_id (optional), vector_insert_node_id (optional), vector_tool_node_id (optional), workflow_path (optional)

connect_main_chain

Baut einen minimalen Hauptpfad durch KI-Workflow-Nodes (Trigger → Modell → Speicher → Embeddings → Doc Loader → Vektorspeicher → Vektor-Tool → Agent)

workflow_name, workflow_path (optional), dry_run (optional), idempotency_key (optional)

Workflow-Planung & Komposition

Tool-Name

Beschreibung

Wichtige Parameter

plan_workflow

Erstellt einen nicht-destruktiven Plan (Nodes und Verbindungen) zur Aktualisierung eines Workflows. Schreibt keine Dateien

workflow_name, target (nodes, connections), workspace_dir (optional)

review_workflow_plan

Wendet einen Plan im Arbeitsspeicher an und gibt Validierungsfehler, Warnungen und Lösungsvorschläge zurück. Schreibt keine Dateien

workflow_name, plan, workflow_path (optional)

apply_workflow_plan

Wendet einen zuvor überprüften Plan auf den Workflow auf der Festplatte an (atomares Schreiben)

workflow_name, plan, workflow_path (optional)

compose_ai_workflow

Erstellt einen komplexen KI-Workflow (Agent + Modell + Speicher + Embeddings + Vektor + Tools + Trigger) in einem Aufruf, inklusive Verkabelung und grundlegender Validierung

workflow_name, plan, n8n_version (optional)

Parameter-Verwaltung

Tool-Name

Beschreibung

Wichtige Parameter

suggest_node_params

Schlägt minimale gültige Parameter für einen Node-Typ unter Verwendung von Standardwerten und Pflichtfeldern vor

node_type, typeVersion (optional), existing_parameters (optional)

list_missing_parameters

Listet erforderliche Parameter auf, die für einen Node unter Berücksichtigung von Sichtbarkeitsregeln fehlen

node_type, typeVersion (optional), parameters

fix_node_params

Gibt Parameter mit angewendeten Standardwerten für fehlende Pflichtfelder zurück

node_type, typeVersion (optional), parameters (optional)

Vorlagen & Discovery

Tool-Name

Beschreibung

Wichtige Parameter

list_template_examples

Listet Beispiele für die Node-Verwendung aus kostenlosen Vorlagen auf. Filtern nach node_type oder template_name

node_type (optional), template_name (optional), limit (optional), cursor (optional)

get_n8n_version_info

Ruft die aktuelle n8n-Version und Funktionen ab

random_string

Validierungsverhalten

validate_workflow stuft Warnungen zu Fehlern hoch und schlägt zusätzlich fehl, wenn ein aktivierter Node nicht (direkt oder über KI-Ports) mit der Hauptkette verbunden ist, die am abgeleiteten startNode beginnt. Verwenden Sie connect_from/connect_to oder add_ai_connections, um die Konnektivität zu korrigieren.

Fehlerbehebung

Allgemein

  1. Überprüfen Sie Ihre MCP-Konfiguration — stellen Sie sicher, dass das JSON gültig ist und der Servername übereinstimmt.

  2. Aktualisieren Sie Node.js auf die neueste LTS-Version.

  3. Leeren Sie den npm-Cache, falls npx fehlschlägt: npm cache clean --force

  4. Versuchen Sie eine globale Installation als Fallback: npm install -g n8n-workflow-builder-mcp

Claude Code

  • Führen Sie claude mcp list aus, um zu überprüfen, ob der Server registriert ist.

  • Überprüfen Sie die Protokolle mit claude mcp logs n8n-workflow-builder.

VS Code / Cursor

  • Überprüfen Sie das Ausgabefenster (Output) — wählen Sie "MCP" aus dem Dropdown-Menü, um Server-Protokolle zu sehen.

  • Stellen Sie sicher, dass der Server unter Settings > Features > MCP Servers aktiviert ist.

  • Starten Sie die IDE nach Konfigurationsänderungen neu.

Projektstruktur

  • /src: Hauptquellcode

  • /src/tools: Implementierung der MCP-Tools

  • /src/models: Datenmodelle

  • /src/utils: Hilfsfunktionen

  • /src/middleware: Authentifizierung und Middleware

  • /config: Konfigurationsdateien

  • /tests: Testdateien

  • /workflow_nodes: n8n-Node-Definitionen

  • /docs: Zusätzliche Dokumentation

Mitwirken

Beiträge sind willkommen! Bitte zögern Sie nicht, einen Pull Request einzureichen.

  1. Forken Sie das Repository

  2. Erstellen Sie Ihren Feature-Branch (git checkout -b feature/amazing-feature)

  3. Committen Sie Ihre Änderungen (git commit -m 'Add some amazing feature')

  4. Pushen Sie den Branch (git push origin feature/amazing-feature)

  5. Öffnen Sie einen Pull Request

Lizenz

MIT-Lizenz

Available Tools

10 tools
add_ai_connectionsD
ParametersJSON Schema
NameRequiredDescriptionDefault
agent_node_idYesThe ID of the agent node that will use the model and tools
memory_node_idNoThe ID of the memory node (optional)
model_node_idNoThe ID of the language model node (optional)
tool_node_idsNoArray of tool node IDs to connect to the agent (optional)
workflow_nameYesThe Name of the workflow to add the AI connections to

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
source_node_idYesThe ID of the source node for the connection
source_node_output_nameYesThe name of the output handle on the source node (e.g., 'main')
target_node_idYesThe ID of the target node for the connection
target_node_input_indexNoThe index for the target node's input handle (default: 0)
target_node_input_nameYesThe name of the input handle on the target node (e.g., 'main')
workflow_nameYesThe Name of the workflow to add the connection to

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
node_nameNoThe name for the new node (e.g., 'My Gmail Node')
node_typeYesThe 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).
parametersNoThe parameters for the node
positionNoThe position of the node {x,y} - will be converted to [x,y] for N8nWorkflowNode
typeVersionNoThe type version for the node (e.g., 1, 1.1). Defaults to 1 if not specified.
webhookIdNoOptional webhook ID for certain node types like triggers.
workflow_nameYesThe Name of the workflow to add the node to
workflow_pathNoOptional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach.

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
workflow_nameYesThe name for the new workflow
workspace_dirYesAbsolute path to the project root directory where workflow_data will be stored

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
node_idYesThe ID of the node to delete
workflow_nameYesThe Name of the workflow containing the node
workflow_pathNoOptional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach.

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
node_idYesThe ID of the node to edit
node_nameNoThe new name for the node
node_typeNoThe 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).
parametersNoThe new parameters
positionNoThe new position {x,y} - will be converted to [x,y]
typeVersionNoThe new type version for the node
webhookIdNoOptional new webhook ID for the node.
workflow_nameYesThe Name of the workflow containing the node
workflow_pathNoOptional workflow path to the workflow file

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
workflow_nameYesThe Name of the workflow to get details for
workflow_pathNoOptional direct path to the workflow file (absolute or relative to current working directory). If not provided, uses standard workflow_data directory approach.

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault
n8n_versionNoFilter nodes by N8N version compatibility. If not provided, uses current configured N8N version.
search_termNoAn optional search term to filter nodes by their name, type, or description.

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

D1/5.0
Behavior1/5

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.

Conciseness1/5

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.

Completeness1/5

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.

Parameters1/5

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.

Purpose1/5

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.

Usage Guidelines1/5

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.

  1. 10 tool updatesv1.0.0
    • First observedadd_ai_connections
    • First observedadd_connection
    • First observedadd_node
    • First observedcreate_workflow
    • First observeddelete_node
    • First observededit_node
    • First observedget_n8n_version_info
    • First observedget_workflow_details
    • First observedlist_available_nodes
    • First observedlist_workflows

TDQS

C2/5.0

Scored across 10 tools

Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness3/5

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

ActivityInactive
ResponsivenessNo issues

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