Vision
CommunityImage Analysis - Supports intelligent analysis and content understanding of multiple image formats, giving your AI Agent visual capabilities. Video Understanding - Supports visual understanding of both local and remote videos. Easy Integration - One-click installation, quick integration with Claude Code and other MCP-compatible clients.
| Publisher | null |
| Repository | null |
| Language | TypeScript |
| Forks | 0 |
| Stars | 386 |
| Available tools | 0 |
| Transport type | stdio |
| Categories | |
| License | MIT |
- Connect tools to AI workflows
Vision 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
386 stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"zai-mcp-server": {
"command": "npx",
"args": [
"-y",
"@z_ai/mcp-server"
],
"env": {
"Z_AI_API_KEY": "your_api_key",
"Z_AI_MODE": "ZAI"
}
}
}
}Use Vision MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Vision is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.
Setup guide to 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 Vision 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 Vision MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.
{
"mcpServers": {
"vision": {
"command": "npx",
"args": [
"-y",
"@z_ai/mcp-server"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Vision 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 Vision 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 Vision.
Frequently asked questions
What is the Vision MCP server used for?
Vision 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 Vision MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Vision 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 Vision 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 Vision connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Vision MCP to TypingMind?
Vision runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.
What tools does Vision MCP provide in TypingMind?
Vision 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 Vision MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Vision requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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