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Netlify's Official MCP server

Publishernetlify
Repositorynetlify-mcp
LanguageTypeScript
Forks
29
Stars
41
Available tools
9
Transport typestdio, streamable-http
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Netlify exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 9 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    41 stars and 29 forks from the linked repository.

Netlify MCP Server

Netlify MCP Server follows the Model Context Protocol (MCP) to enable code agents to use the Netlify API and CLIβ€”so they can create new projects, build, deploy, and manage your Netlify resources using natural language prompts.


Overview

The Model Context Protocol is an emerging standard protocol for connecting code agents with MCP servers, allowing them to manage resources and perform tasks using natural language. The Netlify MCP Server acts as a bridge, providing API access, CLI tools, prompts, and more for your agents.

You can connect to the Netlify MCP Server using a variety of MCP clients, including:


Use Cases

With Netlify MCP Server, your AI agents can:

  • Create, manage, and deploy Netlify projects
  • Modify access controls for enhanced project security
  • Install or uninstall Netlify extensions
  • Fetch user and team information
  • Enable and manage form submissions
  • Create and manage environment variables and secrets
  • and more...

Prerequisites

  • Node.js 22 or higher Check with node --version
  • A Netlify account
  • An MCP client (e.g., Windsurf, Cursor, Claude, Copilot)

Tip: Install the Netlify CLI globally for the best experience: npm install -g netlify-cli


MCP Configuration

For the production MCP server, use the following configuration:

Editors with one-click install:

Install MCP Server on Cursor

Add MCP Server netlify to LM Studio

Install on VS Code

Install on VS Code Insiders Edition

Install on Goose

  • use the following link in your browser if link fails to render or open: goose://extension?cmd=npx&arg=-y&arg=%40netlify%2Fmcp&id=netlify&name=Netlify&description=Build%2C%20deploy%2C%20and%20manage%20sites%20with%20Netlify's%20official%20MCP%20server.

Configuration for MCP config files:

json
{
  "mcpServers": {
    "netlify": {
      "command": "npx",
      "args": [
        "-y",
        "@netlify/mcp"
      ]
    }
  }
}

For local development, see Set up local MCP configuration.


Troubleshooting

Node Version

  • Use Node.js 22 or higher for best results.

  • If you use nvm, run:

    bash
    nvm install 22
    nvm use 22

Netlify authentication troubleshooting

json
{
  "mcpServers": {
    "netlify-mcp": {
      "command": "npx",
      "args": ["-y", "@netlify/mcp"],
      "env": {
        "NETLIFY_PERSONAL_ACCESS_TOKEN": "YOUR-PAT-VALUE"
      }
    }
  }
}

Do not commit your PAT to your repository! Once resolved, remove your PAT from the config.


Generating a New Personal Access Token (PAT)

  1. In the Netlify dashboard, select your user icon.
  2. Go to User settings > OAuth > New access token.
  3. Copy your token and add it (temporarily) to your MCP config as above.
  4. Restart or refresh your MCP client.

Resources

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "netlify-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@netlify/mcp"
      ],
      "env": {
        "NETLIFY_PERSONAL_ACCESS_TOKEN": "YOUR-PAT-VALUE"
      }
    }
  }
}

Available Tools

  • netlify-coding-rules

    ALWAYS call when writing serverless or Netlify code. required step before creating or editing any type of functions, Netlify sdk/library usage, etc.

  • netlify-user-services-reader

    Select and run one of the following Netlify read operations (read-only) get-user

  • netlify-deploy-services-reader

    Select and run one of the following Netlify read operations (read-only) get-deploy, get-deploy-for-site

  • netlify-deploy-services-updater

    Select and run one of the following Netlify write operations deploy-site

  • netlify-team-services-reader

    Select and run one of the following Netlify read operations (read-only) get-teams, get-team

  • netlify-project-services-reader

    Select and run one of the following Netlify read operations (read-only) get-project, get-projects, get-forms-for-project

  • netlify-project-services-updater

    Select and run one of the following Netlify write operations update-visitor-access-controls, update-forms, manage-form-submissions, update-project-name, manage-env-vars, create-new-project

  • netlify-extension-services-reader

    Select and run one of the following Netlify read operations (read-only) get-extensions, get-full-extension-details

  • netlify-extension-services-updater

    Select and run one of the following Netlify write operations change-extension-installation, initialize-database

Use Netlify MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Netlify is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. You can run MCP locally on your device or connect to a remote MCP server URL.

Option 1: Use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Netlify as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Netlify MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "netlify": {
      "command": "npx",
      "args": [
        "-y",
        "@netlify/mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Netlify MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Netlify MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Netlify to help me with this task?
Netlify
Sure. I read it.
Here is what I found using Netlify.

Option 2: Add an MCP server URL

Use this when Netlify is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter your server URL in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste your server URL into the Server URL field.
  2. Enter a connection name for Netlify.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Netlify connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Netlify tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Netlify tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Netlify to help me with this task?
Netlify
Sure. I read it.
Here is what I found using Netlify.

Frequently asked questions

What is the Netlify MCP server used for?

Netlify is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Netlify MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Netlify with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Netlify MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Netlify connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Netlify MCP to TypingMind?

Netlify can be connected in TypingMind with the local MCP connector or by adding a remote MCP server URL. Use the local connector when the server needs access to files, apps, or private resources on your device, and use a server URL when the MCP server is hosted remotely.

What tools does Netlify MCP provide in TypingMind?

Netlify exposes 9 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Netlify MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Netlify requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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