MCP Server for interacting with an n8n instance
What is n8n API MCP Server
n8n API MCP Server
A Model Context Protocol (MCP) server designed to interact with a self-hosted n8n instance.
This server provides tools to:
- Execute calls to the n8n API.
- Search for n8n API endpoints using a local database populated from an OpenAPI specification.
- Store and retrieve frequently used or successful API calls using a "Fast Memory" database for quicker natural language access.
Features
Databases
- API Specification Database (
api_spec.db
): Stores details about n8n API endpoints, loaded from an OpenAPI/Swagger JSON file. Used by search and detail tools. - Fast Memory Database (
fast_memory.db
): Caches successful API calls linked to natural language queries. Allows for quick retrieval of previously used calls and suggests saving new successful calls.
Tools
search_api_endpoints
: Search the local API spec database for endpoints matching a query (path, summary, description, tags).get_api_endpoint_details
: Retrieve detailed information (parameters, request body, responses) for a specific endpoint (path and method) from the local API spec database.execute_api_call
: Execute an API call to the configured n8n instance. Checks Fast Memory first; if not found, prompts to save the call to Fast Memory upon success.natural_language_api_search
: Search for API calls using natural language. Checks Fast Memory first, then falls back to searching the API spec database based on the query.save_to_fast_memory
: Manually save an API call (path, method, params, data) along with its original natural language query and a description to the Fast Memory database.list_fast_memory
: List entries currently stored in the Fast Memory database, optionally filtering by a search term.delete_from_fast_memory
: Delete a specific entry from the Fast Memory database by its ID.clear_fast_memory
: Remove all entries from the Fast Memory database.load_api_spec_from_json
: Load or update the API Specification database (api_spec.db
) by parsing an OpenAPI/Swagger JSON file.send_raw_api_request
: Execute an API call using a raw request string (e.g., "GET /workflows?limit=5"). Uses the same underlying logic asexecute_api_call
, including Fast Memory checks and save prompts.
Setup
- Clone the repository:
git clone https://github.com/jasondsmith72/N8N-api-MCP.git cd N8N-api-MCP
- Install dependencies:
npm install
- Build the server:
This compiles the TypeScript code to JavaScript in thenpm run build
build
directory.
Configuration
This server requires environment variables to connect to your n8n instance. These are typically set in your MCP client's configuration file (e.g., cline_mcp_settings.json
).
N8N_URL
: The base URL of your n8n instance (e.g.,http://your-n8n.example.com
). Defaults tohttp://localhost:5678
if not set.N8N_API_KEY
: Your n8n API key for authentication.
Loading the API Specification
Before using the search tools (search_api_endpoints
, natural_language_api_search
), you need to populate the API Specification database.
- Obtain the OpenAPI (Swagger) JSON specification file for your n8n version. This might be available from the n8n documentation or potentially downloadable from your instance (e.g.,
/api/v1/docs-json
). - Use the
load_api_spec_from_json
tool, providing the absolute path to the downloaded JSON file:load_api_spec_from_json(json_file_path="C:\\path\\to\\your\\n8n-openapi.json")
Installation for Cline / Claude Desktop
Add the following configuration to your cline_mcp_settings.json
(adjust the path to index.js
based on your clone location):
{
"mcpServers": {
"... other servers ...": {},
"n8n-api-mcp": {
"command": "node",
"args": [
"C:\\MCP-Servers\\N8N-api-MCP\\build\\index.js" // <-- Update this path if needed
],
"env": {
"N8N_URL": "YOUR_N8N_INSTANCE_URL", // e.g., "http://192.168.1.100:5678"
"N8N_API_KEY": "YOUR_N8N_API_KEY_HERE"
},
"disabled": false,
"autoApprove": []
}
}
}
(Remember to replace YOUR_N8N_INSTANCE_URL
and YOUR_N8N_API_KEY_HERE
with your actual values)
Development
For development with auto-rebuild on file changes:
npm run watch
Debugging
Use the MCP Inspector for easier debugging:
npm run inspector
The Inspector provides a web interface to view MCP communication.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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