Favicon MCP Server

The Favicon MCP Server addresses a common pain point in modern web development: generating the small, multi‑resolution icons that browsers expect for every site. While designers often produce a single SVG illustration, the web platform requires a suite of raster images in specific sizes and formats—most notably for legacy browsers and for high‑resolution displays. Manually converting an SVG into each required variant is tedious and error‑prone, especially when the icon needs to be updated frequently or integrated into automated build pipelines. This MCP server automates that conversion step, turning a single SVG payload into a ready‑to‑use favicon package in one request.

At its core, the server exposes a single tool, , which accepts either raw SVG data or a path to an SVG file. It renders the image at three standard favicon dimensions (16×16, 32×32, and 48×48 pixels) and outputs both an ICO file that bundles all three sizes and individual PNG files for each resolution. The output is returned as Base64‑encoded strings by default, making it trivial to embed the icons directly into HTML or CSS without additional file handling. For developers who prefer filesystem artifacts, an parameter writes the generated files to disk with clear naming conventions (, , etc.). This dual‑mode output ensures compatibility with both headless CI/CD workflows and traditional web server deployments.

The server’s integration with the MCP framework means it can be called from any LLM‑powered assistant that supports Model Control Protocol. A chatbot could, for example, prompt a user to describe an icon concept, generate the SVG via a language model, and then invoke this MCP tool to produce a fully compliant favicon package—all within the same conversational context. Because the server adheres strictly to MCP’s JSON‑RPC schema, it can be composed with other tools (image editors, asset optimizers, deployment scripts) to form sophisticated AI‑driven web‑app builders.

Key advantages of this MCP server include:

• Zero‑touch conversion: One API call produces a complete favicon set.
• Size and format flexibility: Supports both ICO (multi‑size) and PNG (individual sizes).
• Base64 convenience: Ideal for embedding in static sites or serverless functions.
• MCP‑native integration: Seamlessly plugs into any LLM workflow that understands MCP.
• Lightweight Go implementation: Minimal runtime overhead and easy deployment on cloud functions or Docker containers.

Typical use cases span from rapid prototyping—where a developer wants to test an icon concept on the fly—to production pipelines that automatically refresh site favicons whenever a design update is committed. In all scenarios, the server removes manual rasterization steps and guarantees consistency across browsers, enabling developers to focus on higher‑level design and user experience concerns.