Web Reader
CommunityThe Web Reader MCP Server is a Z.AI implementation based on the Model Context Protocol (MCP). It provides Claude Code, Cline, and other MCP-compatible clients with powerful web content extraction capabilities, including full-page content retrieval and structured data extraction.
| Publisher | null |
| Repository | null |
| Language | TypeScript |
| Forks | 0 |
| Stars | 700 |
| Available tools | 0 |
| Transport type | streamable-http |
| Categories | |
| License | MIT |
- Connect tools to AI workflows
Web Reader exposes MCP capabilities that can be used by compatible AI clients and agents.
- 0 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
700 stars and 0 forks from the linked repository.
Installation
{
"mcpServers": {
"web-reader": {
"url": "https://api.z.ai/api/mcp/web_reader/mcp",
"headers": {
"Authorization": "Bearer your_api_key"
}
}
}
}Use Web Reader MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Web Reader 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 Web Reader is already hosted remotely or your team wants one shared connector that multiple users can access.
Open MCP connectors
In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.
- Open TypingMind in your browser.
- Go to Plugins.
- Open MCP connectors.
- Click Add URL.
Paste the server URL
Enter https://api.z.ai/api/mcp/web_reader/mcp in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.
- Paste https://api.z.ai/api/mcp/web_reader/mcp into the Server URL field.
- Enter a connection name for Web Reader.
- Add a description and icon if you want it to be easier to identify.
- Add custom HTTP headers or OAuth client details if the server requires authentication.
Create the connection
Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.
- Click Create connection.
- Return to the MCP connectors list.
- Confirm the Web Reader connection appears as active.
- Refresh the plugin list if the connection does not appear immediately.
Switch models without reconnecting
Start a chat with your preferred model, enable the Web Reader tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.
- Start a new chat in TypingMind.
- Select the AI model you want to use.
- Enable the Web Reader tools from Plugins.
- Ask the model to use the tool when needed.
- Switch to another AI model and reuse the same MCP connection.
Here is what I found using Web Reader.
Frequently asked questions
What is the Web Reader MCP server used for?
Web Reader 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 Web Reader MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Web Reader 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 Web Reader 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 Web Reader connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Web Reader MCP to TypingMind?
Web Reader 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 Web Reader MCP provide in TypingMind?
Web Reader exposes MCP capabilities 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 Web Reader MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Web Reader requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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