MCP server

HotShot Gear

uk.co.kwixa/hotshot-gear

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Curated UK darts-gear catalogue ranked by fit, not payment: find, explain and compare darts kit.

Working at last checkVerified publisher: kwixa.co.ukAbout 679 tokens per request once connected3 tools

https://mcp.kwixa.co.uk/

At a glance

Type: MCP server
Publisher: kwixa.co.uk (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 679 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http hotshot-gear https://mcp.kwixa.co.uk/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.hotshot-gear]
url = "https://mcp.kwixa.co.uk/"

Gemini CLI

{"mcpServers":{"hotshot-gear":{"httpUrl":"https://mcp.kwixa.co.uk/"}}}

Cursor

{"mcpServers":{"hotshot-gear":{"url":"https://mcp.kwixa.co.uk/"}}}

VS Code

{"servers":{"hotshot-gear":{"type":"http","url":"https://mcp.kwixa.co.uk/"}}}

Antigravity

agy mcp add hotshot-gear https://mcp.kwixa.co.uk/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"hotshot-gear","server_url":"https://mcp.kwixa.co.uk/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"hotshot-gear","server_url":"https://mcp.kwixa.co.uk/"}

compare ~72 tokens
Side-by-side specs and fit notes for two or three catalogue items by id.
find_gear ~511 tokens
Recommends up to three darts-equipment items (steel-tip and soft-tip darts, bristle and electronic dartboards, flights, shafts, cases, oche mats, lighting, surrounds) from a curated UK catalogue, ranked by fit, not by payment. Each result gives the fit score, the reasons, the specs, the evidence lin
get_item ~96 tokens
Returns the full record for one item by id (ids come from find_gear): specs, fit fields, why and why not, evidence links, retailers that stock it (names only, no links), provenance and when it was last checked.

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