MCPollinations Multimodal MCP Server
by pinkpixel-dev
MCPollinations is a Model Context Protocol (MCP) server that allows AI assistants to generate images, text, and audio using the Pollinations APIs. It provides a simple and lightweight way to integrate multimodal generation capabilities into your applications.
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What is MCPollinations Multimodal MCP Server?
MCPollinations is an MCP server that acts as a bridge between AI assistants and the Pollinations APIs, enabling the generation of images, text, and audio content. It simplifies the process of integrating multimodal AI capabilities into applications that support the Model Context Protocol.
How to use MCPollinations Multimodal MCP Server?
To use MCPollinations, you can install it via Smithery, npm, or by cloning the repository. After installation, generate an MCP configuration file, customize it as needed, and integrate it with your application's MCP settings. The server can then be used to generate images, text, and audio based on prompts provided by the application.
Key features of MCPollinations Multimodal MCP Server
Generate image URLs from text prompts
Generate images as base64-encoded data and save as png, jpeg, jpg, or webp
Generate text responses from text prompts
Generate audio responses from text prompts
List available image and text generation models
No authentication required
Compatible with the Model Context Protocol (MCP)
Use cases of MCPollinations Multimodal MCP Server
Integrating image generation into AI assistants
Creating text-based content using AI models
Generating audio responses for conversational AI applications
Enabling multimodal AI experiences in various applications
Rapid prototyping of AI-powered multimedia tools
FAQ from MCPollinations Multimodal MCP Server
What is the default image format when generating images?
What is the default image format when generating images?
The default image format is PNG. However, you can customize it to be jpeg, jpg, or webp.
Where are the generated images saved by default?
Where are the generated images saved by default?
Images are saved in the current working directory where the MCP server is running.
How can I specify a custom save location for generated images?
How can I specify a custom save location for generated images?
You can use the outputPath parameter in the image generation options to specify a custom save location.
What should I do if I encounter an 'AbortController is not defined' error?
What should I do if I encounter an 'AbortController is not defined' error?
This error typically occurs on older versions of Node.js. Update to Node.js 16.0.0 or higher, use global installation, or install AbortController manually.
How do I access the base64-encoded image data?
How do I access the base64-encoded image data?
The base64-encoded image data is always returned, regardless of whether the image is saved to a file. You can use it for embedding in web pages, passing to other services, or processing in memory.