Skip to main content
Glama
tulip

Tulip MCP Server

Official
by tulip

Tulip MCP Server

A Model Context Protocol (MCP) server that provides comprehensive access to the Tulip API, enabling LLMs to interact with the Tulip manufacturing platform functionality including tables, records, machines, stations, interfaces, users, and more.

✨ Prerequisites

Before you begin, ensure you have Node.js installed on your system. This is required to run the server.

šŸš€ Getting Started

This guide will walk you through running the server and connecting it to an MCP client like Cursor or Claude Desktop.

1. Configure Your Credentials

Create a file named .env in a folder of your choice. Copy and paste the following, replacing the placeholders with your actual Tulip credentials.

  • Your TULIP_BASE_URL is the URL you use to access Tulip (e.g., https://my-company.tulip.co).

  • Your TULIP_WORKSPACE_ID is in your Tulip URL after /w/ (for most users, this is DEFAULT).

TULIP_API_KEY=your_api_key_here TULIP_API_SECRET=your_api_secret_here TULIP_BASE_URL=https://your-instance.tulip.co TULIP_WORKSPACE_ID=your_workspace_id_here_if_using_account_api_key

āš ļø Important: The TULIP_WORKSPACE_ID is only required if you are using an Account API key (obtained from Account Settings). If you are using a Workspace API key (obtained from Workspace Settings), you can leave this field empty.

2. Run the Server

Open your terminal or command prompt, navigate to the folder containing your .env file, and run:

npx @tulip/mcp-server

The server will start and is now ready to be connected to an MCP client.


šŸ”Œ Connecting to an MCP Client

When using a client, the server is run in a different environment where it may not find your .env file automatically. To solve this, you must provide the full path to your .env file using the --env flag.

  1. Navigate to the folder where you created your .env file.

  2. On Windows: Right-click the .env file while holding down the Shift key, then select "Copy as path".

  3. On macOS: Right-click the .env file, hold down the Option key, then select "Copy .env as Pathname".

  4. You will use this copied path in the client configuration below.

  1. From the Claude Desktop menu bar, select Settings... > Developer > Edit Config.

  2. This will open the claude_desktop_config.json file.

  3. Add the server configuration inside the mcpServers object. You must replace

    { "mcpServers": { "tulip-mcp": { "command": "npx", "args": [ "@tulip/mcp-server", "--env", "C:\\path\\to\\your\\.env" ] } } }
  4. Save the file and restart Claude Desktop.

For more details, see the official Claude Desktop MCP Quickstart.

For the easiest setup, click the button below. This will pre-fill the command.

Install MCP Server

After clicking the button, you must replace the placeholder text (REPLACE_WITH_YOUR_ENV_FILE_PATH_HERE) with the full path to your .env file that you copied earlier.


šŸ› ļø Developer Guide

This section contains more advanced configuration features.

Tool Selection Configuration

By default, the server enables only read-only tools and table tools for safety. You can customize which tools are available using the ENABLED_TOOLS environment variable in your .env file.

The ENABLED_TOOLS variable accepts a comma-separated list that can include:

  • Individual tool names: Specific tools like listStations

  • Categories: Security-based groupings (read-only, write, admin)

  • Types: Resource-based groupings (table, machine, user, app, interface, station, station-group, utility)

Examples

# Enable specific tools only ENABLED_TOOLS=listTables,getTable,listStations,listInterfaces # Enable by security category ENABLED_TOOLS=read-only,write # Enable by resource type ENABLED_TOOLS=table,station,interface # Mixed approach (recommended) ENABLED_TOOLS=read-only,interface,station,user # Enable everything (use with caution) ENABLED_TOOLS=read-only,write,admin

Multiple Workspace Configuration (Enterprise)

If your organization uses multiple Tulip workspaces or instances, you can set up multiple MCP servers to access all of them simultaneously. This lets you work with data from all your workspaces in a single conversation.

Understanding Your API Credentials

Before you begin, check what type of API credentials you have:

  • Workspace API Credentials: Created in Workspace Settings → API Tokens

    • āœ… Already know which workspace they belong to

    • āœ… Do NOT include TULIP_WORKSPACE_ID in your .env file

    • āœ… Most common type for individual workspaces

  • Account API Credentials: Created in Account Settings → API Tokens

    • āš ļø Can access multiple workspaces

    • āš ļø Must include TULIP_WORKSPACE_ID in your .env file

Not sure which type you have? Check where you created your API token. If you created it in Workspace Settings, you have Workspace API credentials.

Step-by-Step Setup

Step 1: Create separate

Follow the same process from Section 1: Configure Your Credentials, but create separate files:

production-workspace.env development-workspace.env

Step 2: Configure each

For each workspace, create a .env file with the appropriate credentials:

If using Workspace API Credentials:

# production-workspace.env TULIP_API_KEY=your_production_workspace_api_key TULIP_API_SECRET=your_production_workspace_secret TULIP_BASE_URL=https://your-instance.tulip.co ENABLED_TOOLS=read-only,table,station

If using Account API Credentials:

# production-workspace.env TULIP_API_KEY=your_account_api_key TULIP_API_SECRET=your_account_secret TULIP_BASE_URL=https://your-instance.tulip.co TULIP_WORKSPACE_ID=PRODUCTION_WORKSPACE_ID ENABLED_TOOLS=read-only,table,station

Step 3: Connect multiple servers to your MCP client

Add each workspace as a separate server with a unique name using the guides from Section: Connecting to an MCP Client:

For Claude Desktop:

{ "mcpServers": { "tulip-production": { "command": "npx", "args": ["@tulip/mcp-server", "--env", "/full/path/to/production-workspace.env"] }, "tulip-qa": { "command": "npx", "args": ["@tulip/mcp-server", "--env", "/full/path/to/qa-workspace.env"] } } }

For Cursor: Use the install button multiple times, once for each .env file.

Tips for Success

  • Use clear server names like tulip-production, tulip-qa, tulip-development

  • Test each workspace separately first to ensure credentials work

  • Only enable the tools you need. Enabling too many tools (40+) can confuse the AI.

API Documentation

For detailed tool documentation including complete parameter lists, examples, and required permissions, generate the .

How to Get Tulip API Credentials

  1. Log in to your Tulip instance.

  2. Navigate to Settings > API Tokens.

  3. Create a new API token. Give it a name (e.g., "MCP Server").

  4. Make sure to grant it the necessary permissions (scopes). A good starting set for read-only access is: stations:read,users:read,tables:read,machines:read,apps:read,urls:sign

  5. Copy the API Key and Secret and paste them into your .env file.

āš ļø Important: The TULIP_WORKSPACE_ID is only required if you are using an Account API key (obtained from Account Settings). If you are using a Workspace API key (obtained from Workspace Settings), you can leave this field empty.

-
security - not tested
A
license - permissive license
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tulip/tulip-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server