io.github.n0isy/mcp-icon-visual

Name: io.github.n0isy/mcp-icon-visual
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Author: n0isy

内容与创意

by n0isy

为 AI agents 提供 SVG icons 的搜索、获取、对比与可视化渲染，便于直观使用图标。

1GitHub

什么是 io.github.n0isy/mcp-icon-visual？

为 AI agents 提供 SVG icons 的搜索、获取、对比与可视化渲染，便于直观使用图标。

README

mcp-icon-visual

MCP server that gives AI agents the ability to search, retrieve, compare, and render SVG icons. Built with Rust and the rmcp SDK.

Combines local filesystem access with a remote rendering API to resolve SVGs from any source — inline strings, URLs, local files, or Iconify IDs — and render them onto visual comparison grids.

The key insight: every tool returns images. A vision-capable LLM doesn't just get metadata — it sees the icons. This turns icon selection from guesswork into a visual conversation.

<img src="docs/search-grid-example.png" alt="search_icons result for 'machine learning' — 4x4 grid with 16 icons" width="512" /> <code>search_icons("machine learning")</code> — 4x4 grid, cells 0–15, returned as PNG

Agent Pipelines

These tools are designed to be composed by AI agents with vision. Below are three proven patterns.

1. Visual Search & Selection

An agent searches for icons and visually picks the best match — no blind URL selection.

code

                          ┌─────────────────────────────┐
                          │        Agent + Vision        │
                          └──────────────┬──────────────┘
                                         │
                        ┌────────────────┼────────────────┐
                        v                v                v
                  search_icons     search_icons     search_icons
                  "cloud"          "upload"          "storage"
                        │                │                │
                        v                v                v
                  ┌──────────┐    ┌──────────┐    ┌──────────┐
                  │ 4x4 grid │    │ 4x4 grid │    │ 4x4 grid │
                  │  (sees)  │    │  (sees)  │    │  (sees)  │
                  └────┬─────┘    └────┬─────┘    └────┬─────┘
                       │               │               │
                       └───────────────┼───────────────┘
                                       v
                              "cells 3, 7, 12 match
                               the project style"
                                       │
                                       v
                               render_grid [3 winners]
                                       │
                                       v
                              ┌──────────────────┐
                              │  final comparison │
                              │   grid (sees)     │──> pick best
                              └──────────────────┘

The agent runs multiple searches, looks at each grid, picks candidates by cell number, then renders a final side-by-side comparison to make the choice. Works especially well when the agent has context about the project's visual style.

2. Iterative Icon Editing

An agent modifies SVG code and uses render_grid as a visual diff to track progress across iterations.

code

         get_svg "mdi/cloud"
                │
                v
          ┌───────────┐
          │ raw SVG    │
          │ markup     │
          └─────┬─────┘
                │
       ┌────────┴─────────────────────────────────────┐
       │              Edit Loop                        │
       │                                               │
       │   Agent modifies SVG code                     │
       │        │                                      │
       │        v                                      │
       │   render_grid [original, v1, v2, v3]          │
       │        │                                      │
       │        v                                      │
       │   ┌──────────────────────────────┐            │
       │   │ cell 0: original             │            │
       │   │ cell 1: thicker strokes      │            │
       │   │ cell 2: rounded corners      │            │
       │   │ cell 3: filled variant       │            │
       │   └──────────────┬───────────────┘            │
       │                  │                            │
       │        agent sees all versions                │
       │        decides next edit                      │
       │                  │                            │
       │                  └──── loop ──────────────────┘
       │
       v
  save final SVG to disk

Each iteration, the agent passes all versions (original + edits) as inline SVGs to render_grid. It sees them side-by-side in one image and decides whether to keep iterating or stop. The original always stays in cell 0 as a reference.

3. Style Matching & Consistency

An agent ensures new icons match the visual style of existing project icons.

code

  Project icons on disk             Candidate sources
  ─────────────────────             ─────────────────
  /app/icons/nav-home.svg           search_icons "settings"
  /app/icons/nav-search.svg              │
  /app/icons/nav-profile.svg             v
          │                        picks cells 2, 5, 9
          │                              │
          └──────────┬───────────────────┘
                     v
              render_grid [
                /app/icons/nav-home.svg,      ← cell 0: existing
                /app/icons/nav-search.svg,    ← cell 1: existing
                /app/icons/nav-profile.svg,   ← cell 2: existing
                candidate_url_1,              ← cell 3: candidate
                candidate_url_2,              ← cell 4: candidate
                candidate_url_3,              ← cell 5: candidate
                "<svg>...custom edit...</svg>" ← cell 6: agent's edit
              ]
                     │
                     v
              ┌────────────────────────────────┐
              │ grid image:                     │
              │  existing icons  vs  candidates │
              │  (agent sees style match/clash) │
              └────────────────┬───────────────┘
                               │
                      agent judges:
                  "cell 4 matches stroke weight
                   and corner radius of cells 0-2,
                   cell 3 is too thin,
                   cell 5 wrong fill style"
                               │
                               v
                       get_svg cell_4_url
                               │
                               v
                    save to /app/icons/nav-settings.svg

By mixing local file paths and remote sources in a single grid, the agent can visually compare existing project icons against candidates in one shot. The grid becomes a style audit tool.

Combining Pipelines

These patterns compose naturally. A real-world workflow might:

Search across multiple keywords (pipeline 1)
Compare top candidates against existing project icons (pipeline 3)
Edit the closest match to fix style inconsistencies (pipeline 2)
Verify the final icon one more time against the full icon set (pipeline 3)

All driven by a single agent with vision, using three tools.

Tools

`search_icons`

Semantic icon search. Returns a 4x4 PNG grid (512x512, cells 0-15) and a mapping of cell numbers to SVG URLs.

Parameter	Type	Default	Description
`keyword`	string	required	Semantic search query (e.g. `"cloud computing"`, `"arrows"`)
`background`	string	`"#FFFFFF"`	Grid background color, CSS hex
`color`	string \| null	`null`	Recolor all icons to this CSS hex color

`get_svg`

Retrieve raw SVG markup from any source. Returns the complete SVG string for inspection or modification.

Parameter	Type	Description
`source`	string	URL, Iconify ID (`mdi/cloud`), absolute file path, or inline `<svg>`

`render_grid`

Render 1-16 SVGs onto a 4x4 comparison grid (512x512, cells 0-15). Useful for comparing icon variants side-by-side or previewing local icons alongside search results.

Parameter	Type	Default	Description
`sources`	string[]	required	1-16 SVG sources (URLs, Iconify IDs, file paths, or inline SVGs)
`background`	string	`"#FFFFFF"`	Grid background color, CSS hex

Source Resolution

All tools share a unified resolution pipeline that classifies sources automatically:

Source type	Example	Resolution
Inline SVG	`<svg xmlns="...">...</svg>`	Returned as-is
URL	`https://mdn.alipayobjects.com/.../original`	Resolved via API
File path	`/home/user/icons/logo.svg`	Read from local disk
Iconify ID	`mdi/cloud`, `lucide/home`	Resolved via API

File paths are detected by prefix (/, ./, ~/) or .svg extension. Everything else without http:///https:// is treated as an Iconify ID.

Grid Format

All grid outputs are 512x512 PNG images with a 4x4 layout (128x128 cells), numbered 0-15 left-to-right, top-to-bottom:

code

┌────┬────┬────┬────┐
│  0 │  1 │  2 │  3 │
├────┼────┼────┼────┤
│  4 │  5 │  6 │  7 │
├────┼────┼────┼────┤
│  8 │  9 │ 10 │ 11 │
├────┼────┼────┼────┤
│ 12 │ 13 │ 14 │ 15 │
└────┴────┴────┴────┘

Cell numbers appear at the bottom-left of each cell. Unused cells show the number only.

Installation

npx (recommended)

No build needed. Works on Linux (x64/arm64), macOS (Intel/Apple Silicon), and Windows (x64).

json

{
  "mcpServers": {
    "icon-visual": {
      "command": "npx",
      "args": ["-y", "@br-ai-n/mcp-icon-visual"]
    }
  }
}

From source

Requires Rust (edition 2024):

bash

cargo build --release --target x86_64-unknown-linux-musl

The release profile produces a fully static binary (musl libc, rustls-tls, LTO, stripped).

Usage

bash

# Default upstream API
./mcp-icon-visual

# Custom API endpoint
./mcp-icon-visual --api-base http://localhost:3000

The server communicates over stdio using the MCP protocol.

MCP Client Configuration

Claude Desktop / Cursor

json

{
  "mcpServers": {
    "icon-visual": {
      "command": "npx",
      "args": ["-y", "@br-ai-n/mcp-icon-visual"]
    }
  }
}

Custom API endpoint

json

{
  "mcpServers": {
    "icon-visual": {
      "command": "/path/to/mcp-icon-visual",
      "args": ["--api-base", "http://localhost:3000"]
    }
  }
}

Project Structure

code

src/
├── main.rs           # Entrypoint, CLI args, stdio transport
├── server.rs         # IconServer + MCP tool routing + response builders
├── api_client.rs     # HTTP client for upstream rendering API
├── resolve.rs        # Source classification and SVG resolution
├── error.rs          # Error types
└── tools/
    ├── mod.rs
    ├── search_icons.rs   # SearchIconsParams
    ├── get_svg.rs        # GetSvgParams
    └── render_grid.rs    # RenderGridParams

Testing

bash

# Unit tests (source classification)
cargo test

# Integration tests (requires network access to icons.buan.me)
cargo test -- --ignored

Dependencies

Crate	Purpose
`rmcp`	MCP server SDK (tool routing, stdio transport)
`tokio`	Async runtime
`reqwest`	HTTP client (`rustls-tls`, no OpenSSL)
`serde` / `serde_json`	Serialization
`schemars`	JSON Schema generation for tool parameters
`clap`	CLI argument parsing
`base64`	Base64 encoding
`tracing`	Logging
`thiserror`	Error derive macros

License

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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