Mcpollinations MCP Server

Model Context Protocol (MCP) server for the Pollinations APIs with image saving functionality. That is what the mcpollinations mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

To install mcpollinations for Claude Desktop automatically via Smithery:

• Generate image URLs from text prompts
• Generate images and return them as base64-encoded data AND save as png, jpeg, jpg, or webp (default: png)
• Generate text responses from text prompts
• Generate audio responses from text prompts
• List available image and text generation models
• No authentication required

What it needs from you

Configuration is passed through the environment: IMAGE_MODEL, IMAGE_WIDTH, IMAGE_HEIGHT, IMAGE_ENHANCE, IMAGE_SAFE, TEXT_MODEL, TEXT_TEMPERATURE, TEXT_TOP_P. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

The server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by sizzlebop; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Mcpollinations's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.