Tencent EdgeOne Pages logo

Tencent EdgeOne Pages

Organization
tencentedgeone

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Publishertencentedgeone
Repositoryedgeone-pages-mcp
LanguageTypeScript
Forks
56
Stars
415
Available tools
1
Transport typestreamable-http
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Tencent EdgeOne Pages exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 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

    415 stars and 56 forks from the linked repository.

EdgeOne Pages MCP

An MCP service for deploying HTML content, folders, or full-stack projects to EdgeOne Pages and obtaining publicly accessible URLs.

Demo

Deploy HTML

Deploy Folder

Requirements

  • Node.js 18 or higher

MCP Configuration

stdio MCP Server

Full-featured MCP service that supports the deploy_folder tool for deploying full-stack projects.

jsonc
// Tencent Cloud International (Default)
{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "timeout": 600,
      "command": "npx",
      "args": ["edgeone-pages-mcp-fullstack@latest"]
    }
  }
}

// Tencent Cloud China
{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "timeout": 600,
      "command": "npx",
      "args": ["edgeone-pages-mcp-fullstack@latest", "--region", "china"]
    }
  }
}

The following MCP Server will be deprecated soon:

Supports both deploy_html and deploy_folder_or_zip tools.

jsonc
{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "command": "npx",
      "args": ["edgeone-pages-mcp@latest"],
      "env": {
        // Optional. 
        // If you need to deploy folders or zip files to 
        // EdgeOne Pages projects, provide your EdgeOne Pages API token.
        // How to obtain your API token: 
        // https://edgeone.ai/document/177158578324279296
        "EDGEONE_PAGES_API_TOKEN": "",
        // Optional. Leave empty to create a new EdgeOne Pages project.
        // Provide a project name to update an existing project.
        "EDGEONE_PAGES_PROJECT_NAME": ""
      }
    }
  }
}

Streaming HTTP MCP Server

For MCP clients that support HTTP streaming, only supports the deploy_html tool.

json
{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "url": "https://mcp-on-edge.edgeone.site/mcp-server"
    }
  }
}

Tool Details

deploy_html Tool

Architecture Design

EdgeOne Pages MCP Architecture

The architecture diagram shows the complete workflow of the deploy_html tool:

  1. Large Language Model generates HTML content
  2. Content is sent to the EdgeOne Pages MCP Server
  3. MCP Server deploys the content to EdgeOne Pages Edge Functions
  4. Content is stored in EdgeOne KV Store for fast edge access
  5. MCP Server returns a publicly accessible URL
  6. Users can access the deployed content via browser with fast edge delivery

Implementation Details

This tool integrates with EdgeOne Pages Functions to deploy static HTML content:

  1. EdgeOne Pages Functions - A serverless computing platform that supports executing JavaScript/TypeScript code at the edge

  2. Core Implementation Features:

    • Uses EdgeOne Pages KV storage to save and serve HTML content
    • Automatically generates publicly accessible URLs for each deployment
    • Provides comprehensive API error handling and feedback
  3. How It Works:

    • MCP server receives HTML content through the deploy_html tool
    • Connects to EdgeOne Pages API to obtain the base URL
    • Deploys HTML content using the EdgeOne Pages KV API
    • Returns an immediately accessible public URL

For more information, refer to the EdgeOne Pages Functions documentation and EdgeOne Pages KV Storage Guide.

The source code is open source and can be self-deployed with custom domain binding: https://github.com/TencentEdgeOne/self-hosted-pages-mcp

deploy_folder Tool

This tool supports deploying complete projects to EdgeOne Pages:

  • Supports full deployment of static website projects
  • Supports deployment of full-stack applications
  • Option to update existing projects or create new ones

License

MIT

Installation

TypingMind
{
  "mcpServers": {
    "edgeone-pages-mcp-server": {
      "url": "https://mcp-on-edge.edgeone.site/mcp-server"
    }
  }
}

Available Tools

  • deploy-html

    Deploy HTML content to EdgeOne Pages, return the public URL

Use Tencent EdgeOne Pages MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Tencent EdgeOne Pages is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP connects through a hosted MCP server URL in TypingMind.

Add an MCP server URL

Use this when Tencent EdgeOne Pages 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 https://mcp-on-edge.edgeone.site/mcp-server 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 https://mcp-on-edge.edgeone.site/mcp-server into the Server URL field.
  2. Enter a connection name for Tencent EdgeOne Pages.
  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 Tencent EdgeOne Pages 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 Tencent EdgeOne Pages 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 Tencent EdgeOne Pages 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 Tencent EdgeOne Pages to help me with this task?
Tencent EdgeOne Pages
Sure. I read it.
Here is what I found using Tencent EdgeOne Pages.

Frequently asked questions

What is the Tencent EdgeOne Pages MCP server used for?

Tencent EdgeOne Pages 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 Tencent EdgeOne Pages MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Tencent EdgeOne Pages 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 Tencent EdgeOne Pages 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 Tencent EdgeOne Pages connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Tencent EdgeOne Pages MCP to TypingMind?

Tencent EdgeOne Pages can be connected in TypingMind by adding its hosted MCP server URL. This is useful when you want a remote MCP connection that is available from your TypingMind workspace.

What tools does Tencent EdgeOne Pages MCP provide in TypingMind?

Tencent EdgeOne Pages exposes 1 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 Tencent EdgeOne Pages MCP?

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

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