# sf-symbols-mcp

> sf-symbols-mcp — bonkey-sf-symbols-mcp. Use this tool when you need to accurately select SF Symbols for UI functions, as it solves the problem of hallucinated symbol names by providing verified catalog entries through layered retrieval. This MCP server takes in UI function descriptions as input and outputs the corresponding SF Symbol, ensuring reliable and efficient symbol selection. It is ideal for use cases where precise symbol matching is crucial, such as in UI design and development.

Canonical page: https://skillsregistry.net/skills/bonkey-sf-symbols-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bonkey-sf-symbols-mcp

## Description

An MCP server that helps AI agents pick the right SF Symbol for a UI function without hallucinating symbol names, using layered retrieval and verified catalog entries.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vp7enns15f)
- **Repository:** <https://github.com/bonkey/sf-symbols-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bonkey-sf-symbols-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bonkey-sf-symbols-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bonkey-sf-symbols-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt