MCP server

Cbest Lighting Official

ir.cbest/lighting

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

Iranian lighting supplier directory: products, brands, and a bilingual Persian/English taxonomy.

Website

At a glance

Type

MCP server

Publisher

cbest.ir (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 1,717 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 CursorAdd to VS CodeVS 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 lighting https://www.cbest.ir/lighting/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.lighting]
url = "https://www.cbest.ir/lighting/api/mcp"

Gemini CLI

{"mcpServers":{"lighting":{"httpUrl":"https://www.cbest.ir/lighting/api/mcp"}}}

Cursor

{"mcpServers":{"lighting":{"url":"https://www.cbest.ir/lighting/api/mcp"}}}

VS Code

{"servers":{"lighting":{"type":"http","url":"https://www.cbest.ir/lighting/api/mcp"}}}

Antigravity

agy mcp add lighting https://www.cbest.ir/lighting/api/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":"lighting","server_url":"https://www.cbest.ir/lighting/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"lighting","server_url":"https://www.cbest.ir/lighting/api/mcp"}

Tools

• classify_lighting_term ~145 tokens
  Map any Persian or English lighting phrase onto the canonical taxonomy — «داون‌لایت توکار», 'trimless plaster frame', 'high bay'. Backed by 522 learned type→category pairs plus rules measured at 95% agreement. Returns null for a phrase that names no category rather than guessing.
• compare_brands ~198 tokens
  Which suppliers cover a category, with counts, share, and per-facet data coverage. Coverage describes what each supplier's SOURCE stated, never product quality, and a one-supplier category says so rather than pretending to be a comparison.
• get_brand ~130 tokens
  One supplier in full: what they make, the product families they run, and — the field worth the call — doesNotDo, a statement of what they genuinely do NOT make, computed from absence in their product list rather than inferred from their marketing.
• get_product ~129 tokens
  Every field on file for one product, by the id search_products returns ('brand/product-slug'), including provenance: whether the fact came from the supplier's own website or from a page of their PDF catalog, and when it was read.
• list_brands ~76 tokens
  Every supplier on file with what they cover, how complete their data is, and when it was last read. No contact details — see the server instructions.
• list_categories ~97 tokens
  The 20 canonical categories with Persian and English names, product counts, and which suppliers are in each. Small enough to fetch once and reason over the whole market; flags categories that only one supplier covers.
• search_products ~676 tokens
  Search the catalog of real products stocked by the suppliers on file. Accepts Persian or English. Returns normalized facets (mounting, indoor/outdoor, IP, colour temperature, and wattage/lumen where stated) plus what the query matched on. Colour temperature is returned but is NOT filterable: a fixtu
• start_consultation ~266 tokens
  Turn a described need into a link the person opens themselves, where an adviser builds a brief and matches it against suppliers' real stock. This is how someone actually reaches a supplier: there are no contact details in this server, and this call does not contact anyone. It stores nothing and it R

Browse

• PDF tools
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