Visio MCP Server

What does “Visio” MCP Server do?

Visio MCP Server is a tool that enables programmatic creation and editing of Microsoft Visio diagrams via a standardized API. By leveraging Microsoft’s COM interface, it allows AI assistants and developers to automate tasks such as creating new diagrams, adding or connecting shapes, inserting text, and exporting diagrams as images. This server acts as a bridge between AI workflows and the Visio application, making it possible to integrate diagram manipulation into broader automation, documentation, or data visualization pipelines. As part of the Model Context Protocol (MCP) ecosystem, Visio MCP Server facilitates seamless interactions with external systems, enhancing productivity for developers working with visual documentation or diagrammatic workflows.

List of Prompts

No specific prompt templates are mentioned or defined in the repository.

List of Resources

No explicit MCP resources are described or exposed in the repository.

List of Tools

• Create new Visio diagram
  Programmatically create a new Microsoft Visio diagram from scratch.
• Open existing Visio diagram
  Open and load an existing Visio diagram for modification or export.
• Add shapes
  Add various shapes (Rectangle, Circle, Line, etc.) to a Visio document.
• Connect shapes
  Connect two shapes using different connector types.
• Add text to shapes
  Insert textual annotations or content into diagram shapes.
• List all shapes
  Retrieve a list of all shapes currently in a Visio document.
• Save document
  Save the current state of the Visio document to a specified location.
• Export diagram as image
  Export the current diagram view as an image file.
• Close document
  Safely close the opened Visio document.

Use Cases of this MCP Server

• Automated Diagram Generation:
  Developers can automatically generate complex Visio diagrams from structured data or scripts, reducing manual effort and ensuring consistency.
• Codebase/Architecture Visualization:
  Use the server to programmatically visualize software architectures, network topologies, or process flows as Visio diagrams for easier understanding and documentation.
• Batch Editing & Updates:
  Bulk update, annotate, or modify multiple Visio diagrams, such as adding company branding or updating standard components across files.
• Integration with Documentation Pipelines:
  Incorporate Visio diagram generation into automated documentation workflows, ensuring up-to-date visuals in technical documents and reports.
• Exporting and Sharing Visuals:
  Automate the export of diagrams as images for sharing in presentations, emails, or intranet pages without manual intervention.

How to set it up

Windsurf

1. Ensure Microsoft Visio and Python 3.12+ are installed on Windows.

2. Install required Python packages:

   pip install pywin32
   pip install mcp-server
   

3. Clone the repository and locate visio_mcp_server.py.

4. Add the server to your Windsurf MCP configuration file:

   {
     "mcpServers": {
       "visio": {
         "command": "python",
         "args": ["<path-to>/visio_mcp_server.py"],
         "env": {}
       }
     }
   }
   

5. Save and restart Windsurf. Verify by checking server logs or executing a test command.

Claude

1. Install prerequisites: Microsoft Visio, Python 3.12+, and required packages.

2. Clone this repository.

3. Edit the Claude MCP configuration file to include the Visio MCP Server:

   {
     "mcpServers": {
       "visio": {
         "command": "python",
         "args": ["<path-to>/visio_mcp_server.py"],
         "env": {}
       }
     }
   }
   

4. Save changes and restart Claude.

5. Confirm Visio MCP Server is running via Claude interface.

Cursor

1. Set up the environment with Windows, Visio, Python, and dependencies.

2. Download/clone the Office-Visio-MCP-Server repository.

3. Update Cursor’s MCP configuration to include:

   {
     "mcpServers": {
       "visio": {
         "command": "python",
         "args": ["<path-to>/visio_mcp_server.py"],
         "env": {}
       }
     }
   }
   

4. Save the configuration and restart Cursor.

5. Test the connection to the Visio MCP Server.

Cline

1. Prepare prerequisites: Windows, Microsoft Visio, Python 3.12+.

2. Install the necessary Python packages.

3. Clone the repository and find the server script.

4. Add the following to Cline’s MCP configuration:

   {
     "mcpServers": {
       "visio": {
         "command": "python",
         "args": ["<path-to>/visio_mcp_server.py"],
         "env": {}
       }
     }
   }
   

5. Restart Cline and confirm the server setup.

Securing API Keys:
If your setup requires API keys or secrets, store them as environment variables and reference them in the env section of the config:

{
  "mcpServers": {
    "visio": {
      "command": "python",
      "args": ["<path-to>/visio_mcp_server.py"],
      "env": {
        "VISIO_API_KEY": "${VISIO_API_KEY}"
      }
    }
  }
}

Remember to set VISIO_API_KEY in your system’s environment variables securely.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "visio": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “visio” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Roots support is not mentioned in the repository.

Based on the above tables, this MCP is well-documented for its core Visio automation tools, but lacks explicit MCP prompt templates and resource definitions. Its utility is strong for developers needing diagram automation, but broader protocol features are missing.

Rating: 5/10

MCP Score