
Weibo MCP Server
CommunityA MCP Server for Weibo providing real-time access to Weibo user information, dynamic content, trending topics, and follower data. Supports user search, content search, and topic analysis for AI applications.
| Publisher | qinyuanpei |
| Repository | mcp-server-weibo |
| Language | Python |
| Forks | 0 |
| Stars | 34 |
| Available tools | 0 |
| Transport type | stdio, streamable-http |
| Categories | |
| License | MIT |
| Links |
- Connect tools to AI workflows
Weibo MCP Server 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
34 stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"qinyuanpei-mcp-server-weibo": {
"command": "uvx",
"args": [
"mcp-server-weibo"
]
}
}
}Use Weibo MCP Server MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Weibo MCP Server 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.
Open the MCP settings
In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.
- Open TypingMind in your browser.
- Click the Settings icon.
- Go to Advanced Settings.
- Open the Model Context Protocol section.
- Click Setup Connector and choose This Device.

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.
- Copy the setup command shown by TypingMind.
- Open Terminal on macOS or Windows Terminal on Windows.
- Paste and run the command.
- Approve the package install if Terminal asks you to proceed.
- Keep the Terminal window running while using MCP tools.
Add Weibo MCP Server as a server
When the connector status is Ready, click Edit Servers and paste the MCP server configuration.
- Wait until the connector status shows Ready.
- Click Edit Servers.
- Paste the Weibo MCP Server MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.

{
"mcpServers": {
"qinyuanpei-mcp-server-weibo": {
"command": "npx",
"args": [
"-y",
"mcp-server-weibo"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Weibo MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.
- Open the Plugins page in TypingMind.
- Enable the Weibo MCP Server MCP tools.
- Start a chat and choose the AI model you want to use.
- Use the MCP tools in chat or assign them to an AI agent.
- Switch to another AI model whenever needed without reconnecting MCP.


Here is what I found using Weibo MCP Server.
Option 2: Add an MCP server URL
Use this when Weibo MCP Server 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 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.
- Paste your server URL into the Server URL field.
- Enter a connection name for Weibo MCP Server.
- 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 Weibo MCP Server 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 Weibo MCP Server 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 Weibo MCP Server 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 Weibo MCP Server.
Frequently asked questions
What is the Weibo MCP Server MCP server used for?
Weibo MCP Server 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 Weibo MCP Server MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Weibo MCP Server 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 Weibo MCP Server 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 Weibo MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Weibo MCP Server MCP to TypingMind?
Weibo MCP Server 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 Weibo MCP Server MCP provide in TypingMind?
Weibo MCP Server 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 Weibo MCP Server MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Weibo MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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