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Connect AI agents to TouchDesigner for automated visual programming, generative art, and interactive installations with the TouchDesigner MCP Server.
The TouchDesigner MCP Server is an implementation of the Model Context Protocol tailored for TouchDesigner, a visual development platform. This server acts as a bridge, allowing AI assistants to interact with and control TouchDesigner projects programmatically. Its main purpose is to enable AI-driven workflows, such as automating project operations, querying project states, or manipulating visual elements inside TouchDesigner, thereby enhancing creative coding and visual development processes with external AI capabilities. By exposing TouchDesigner functionalities through MCP, it empowers developers and artists to integrate AI agents with real-time graphics, generative art, and interactive installations, streamlining development and creative automation.
No information found regarding prompt templates in the provided repository.
No explicit resource definitions found in the provided repository.
No details about specific tools found in server.py or equivalent entry file in the provided repository.
{
"mcpServers": {
"touchdesigner-mcp": {
"command": "npx",
"args": ["touchdesigner-mcp-server@latest"]
}
}
}
{
"mcpServers": {
"touchdesigner-mcp": {
"command": "npx",
"args": ["touchdesigner-mcp-server@latest"]
}
}
}
{
"mcpServers": {
"touchdesigner-mcp": {
"command": "npx",
"args": ["touchdesigner-mcp-server@latest"]
}
}
}
{
"mcpServers": {
"touchdesigner-mcp": {
"command": "npx",
"args": ["touchdesigner-mcp-server@latest"]
}
}
}
To securely manage API keys, use environment variables within your configuration. Example:
{
"mcpServers": {
"touchdesigner-mcp": {
"command": "npx",
"args": ["touchdesigner-mcp-server@latest"],
"env": {
"API_KEY": "${TOUCHDESIGNER_API_KEY}"
},
"inputs": {
"projectFile": "path/to/your/project.toe"
}
}
}
}
Replace "API_KEY"
and "projectFile"
as required for your environment.
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:
{
"touchdesigner-mcp": {
"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 "touchdesigner-mcp"
to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Describes purpose; found in README |
List of Prompts | ⛔ | No prompt templates referenced |
List of Resources | ⛔ | No explicit resource descriptions |
List of Tools | ⛔ | No tool definitions found |
Securing API Keys | ✅ | General advice provided |
Sampling Support (less important in evaluation) | ⛔ | No mention of sampling |
Based on the available documentation and code, the TouchDesigner MCP server provides a useful bridge for AI integration with TouchDesigner, primarily targeting creative coding and automation. However, the lack of documented prompts, tools, and resource definitions limits its immediate out-of-the-box utility for advanced LLM workflows. The project is open-source (MIT), has community interest, and basic setup instructions are straightforward.
Score:
Given the lack of detailed MCP-specific features but presence of core setup and open-source status, we rate this MCP server as a 4/10 for general utility and completeness as an MCP server.
Has a LICENSE | ✅ (MIT license) |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 6 |
Number of Stars | 40 |
The TouchDesigner MCP Server is a bridge between AI assistants and TouchDesigner, enabling programmatic control, automation, and integration of real-time graphics and generative art workflows with external AI agents.
Key use cases include AI-controlled visual programming, interactive installations, remote project management, integration with external data streams, and creative coding automation within TouchDesigner.
No, the current implementation does not provide prompt templates or explicit tool/resource definitions. It primarily exposes TouchDesigner project control via MCP.
Use environment variables in your MCP configuration to securely store and access sensitive API keys, as demonstrated in the setup example.
The TouchDesigner MCP Server is open-source under the MIT license, with moderate community interest (6 forks, 40 stars).
While it provides a solid foundation for AI integration with TouchDesigner, it lacks advanced LLM workflow features such as documented prompts or tools. Overall score: 4/10 for utility and completeness.
Integrate AI-driven workflows into your TouchDesigner projects using the TouchDesigner MCP Server. Automate, visualize, and create like never before.
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