MCP server

Best Electric Products

io.github.OptionScope/best-electric-products

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Editorial picks for e-bikes, power stations, EV chargers, and robot vacuums, by use case and budget

Working at last checkAbout 750 tokens per request once connected6 tools

Website

https://bestelectricproducts.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 6
Token cost: About 750 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

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 best-electric-products https://bestelectricproducts.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.best-electric-products]
url = "https://bestelectricproducts.com/mcp"

Gemini CLI

{"mcpServers":{"best-electric-products":{"httpUrl":"https://bestelectricproducts.com/mcp"}}}

Cursor

{"mcpServers":{"best-electric-products":{"url":"https://bestelectricproducts.com/mcp"}}}

VS Code

{"servers":{"best-electric-products":{"type":"http","url":"https://bestelectricproducts.com/mcp"}}}

Antigravity

agy mcp add best-electric-products https://bestelectricproducts.com/mcp

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":"best-electric-products","server_url":"https://bestelectricproducts.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"best-electric-products","server_url":"https://bestelectricproducts.com/mcp"}

Tools

compare_products ~87 tokens
Head-to-head comparison of two or more products by slug.
get_guide ~134 tokens
Full text of one buying guide by slug: the short answer, key takeaways, every section with its bullets, and the FAQ. Use this to answer 'how do I choose / what size / what should I look for' questions rather than only recommending a product.
get_product_details ~97 tokens
Full editorial record for one product by slug: rating, pros/cons, specs, full review text, review URL, and buy link.
list_buying_guides ~88 tokens
List everything we cover: product categories (with guide URLs, product counts and FAQs) plus our long-form buying guides, each with a one-sentence standalone answer and key takeaways.
recommend_product ~168 tokens
Recommend the best product for a described use case and optional budget. Returns a top pick with reasoning plus alternatives.
search_products ~176 tokens
Search or browse our recommended products. Filter by category slug, maximum price, and/or a free-text query matched against name, brand, award, and use case.

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