MCPollinations Multimodal MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| POLLINATIONS_TOKEN | No | Your Pollinations API token for enhanced access | |
| POLLINATIONS_REFERRER | No | Your domain/application referrer URL |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generateImageUrlB | Generate an image URL from a text prompt. User-configured settings in MCP config will be used as defaults unless specifically overridden. |
| generateImageA | Generate an image, return the base64-encoded data, and save to a file by default. User-configured settings in MCP config will be used as defaults unless specifically overridden. |
| editImageB | Edit or modify an existing image based on a text prompt. User-configured settings in MCP config will be used as defaults unless specifically overridden. |
| generateImageFromReferenceB | Generate a new image using an existing image as reference. User-configured settings in MCP config will be used as defaults unless specifically overridden. |
| listImageModelsA | List available image models |
| respondAudioB | Generate an audio response to a text prompt and play it through the system |
| listAudioVoicesA | List all available audio voices for text-to-speech generation |
| respondTextA | Respond with text to a prompt using the Pollinations Text API. User-configured settings in MCP config will be used as defaults unless specifically overridden. |
| listTextModelsB | List available text models |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
The four image generation tools (generateImage, generateImageFromReference, generateImageUrl, editImage) have overlapping purposes; generateImage and generateImageUrl differ only in output format, which could confuse an agent. Audio and text tools are distinct, but the image subset reduces clarity.
All tool names follow a consistent verb_noun pattern (e.g., editImage, generateImage, listAudioVoices, respondText). The naming is predictable and uses lowercase camelCase throughout, with no mixing of conventions.
With 9 tools covering text, image, and audio generation along with model/voice listing, the count is well-scoped for a multimodal server. Each tool serves a clear, non-redundant role within the domain.
The tool set covers core generative capabilities (text, image, audio) and model introspection. Minor gaps exist, such as missing image-to-text or video generation, but these are not essential given the server's stated purpose.