MCP OpenVision

by Nazruden

15 stars

409 downloads

Not rated

GitHub

About

MCP Server using OpenRouter models to get descriptions for images

Details

Author: Nazruden
GitHub stars: 15
Downloads: 409
Categories: Cloud Service, AI, API, Other

- Single image_analysis tool accepting images as base64, URL, or file path.
- Supports customizable system prompt, model, temperature, and max_tokens.
- Works with any OpenRouter model that supports vision capabilities.
- Default model is qwen/qwen2.5-vl-32b-instruct:free.
- Can use relative file paths with an optional project_root parameter.
- Integrates seamlessly with Claude Desktop and Cursor via MCP configuration.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP OpenVision

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

From the repository

Install via pip install mcp-openvision or uv pip install mcp-openvision, or use Smithery for automatic integration with Claude Desktop. Configure by setting the OPENROUTER_API_KEY environment variable (required) and optionally OPENROUTER_DEFAULT_MODEL. Add the server to your MCP configuration file (e.g., mcp.json for Claude Desktop or Cursor) with the command uvx mcp-openvision and your API key. Test with npx @modelcontextprotocol/inspector uvx mcp-openvision.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp openvision": {
            "mcp-openvision": {
                "command": "npx",
                "args": [
                    "-y",
                    "@smithery/cli",
                    "install",
                    "@Nazruden/mcp-openvision",
                    "--client",
                    "claude"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-openvision": {
        "command": "npx",
        "args": [
            "-y",
            "@smithery/cli",
            "install",
            "@Nazruden/mcp-openvision",
            "--client",
            "claude"
        ]
    }
}

MCP OpenVision

Overview

MCP OpenVision is a Model Context Protocol (MCP) server that provides image analysis capabilities powered by OpenRouter vision models. It enables AI assistants to analyze images via a simple interface within the MCP ecosystem.

Installation

Installing via Smithery

To install mcp-openvision for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Nazruden/mcp-openvision --client claude

Using pip

pip install mcp-openvision

Using UV (recommended)

uv pip install mcp-openvision

Configuration

MCP OpenVision requires an OpenRouter API key and can be configured through environment variables:

- OPENROUTER_API_KEY (required): Your OpenRouter API key
- OPENROUTER_DEFAULT_MODEL (optional): The vision model to use

OpenRouter Vision Models

MCP OpenVision works with any OpenRouter model that supports vision capabilities. The default model is qwen/qwen2.5-vl-32b-instruct:free, but you can specify any other compatible model.

Some popular vision models available through OpenRouter include:

- qwen/qwen2.5-vl-32b-instruct:free (default)
- anthropic/claude-3-5-sonnet
- anthropic/claude-3-opus
- anthropic/claude-3-sonnet
- openai/gpt-4o

You can specify custom models by setting the OPENROUTER_DEFAULT_MODEL environment variable or by passing the model parameter directly to the image_analysis function.

Usage

Testing with MCP Inspector

The easiest way to test MCP OpenVision is with the MCP Inspector tool:

npx @modelcontextprotocol/inspector uvx mcp-openvision

Integration with Claude Desktop or Cursor

1. Edit your MCP configuration file:

- Windows: %USERPROFILE%\.cursor\mcp.json
- macOS: ~/.cursor/mcp.json or ~/Library/Application Support/Claude/claude_desktop_config.json

2. Add the following configuration:

{
  "mcpServers": {
    "openvision": {
      "command": "uvx",
      "args": ["mcp-openvision"],
      "env": {
        "OPENROUTER_API_KEY": "your_openrouter_api_key_here",
        "OPENROUTER_DEFAULT_MODEL": "anthropic/claude-3-sonnet"
      }
    }
  }
}

Running Locally for Development

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP OpenVision

Overview

Installation

Installing via Smithery

Using pip

Using UV (recommended)

Configuration

OpenRouter Vision Models

Usage

Testing with MCP Inspector

Integration with Claude Desktop or Cursor

Running Locally for Development

Install

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