Fenlight

ae.waggle/fenlightVersion 0.3.0

Google search results, forum threads, local and shopping data, keyword ideas, AI answer tracking.

Status

Responds1372 msNov 14, 2026, 13:26 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:26 UTC
Latency: 1372 ms
Remotes responding: 1 of 1
Sign-in: API key
Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://fenlight.waggle.ae/mcpResponds1372 msNov 14, 2026, 13:26 UTC

No sign-in

Claude Code

claude mcp add --transport http fenlight https://fenlight.waggle.ae/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'

Replace <YOUR_TOKEN> before running.

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: fenlight
Remote MCP server URL: https://fenlight.waggle.ae/mcp
This server expects the header Authorization.

Cursor

{
  "mcpServers": {
    "fenlight": {
      "url": "https://fenlight.waggle.ae/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Replace <YOUR_TOKEN> before running.

VS Code

code --add-mcp '{"name":"fenlight","type":"http","url":"https://fenlight.waggle.ae/mcp","headers":{"Authorization":"Bearer <YOUR_TOKEN>"}}'

Replace <YOUR_TOKEN> before running.

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Tools

8 tools

Tools of Fenlight
	Description		Read-only	Idempotent	Open world
`ai_answers`Put a buyer's question to an AI assistant that searches the live web, and see whether a brand and its competitors are named in the answer, in what rank, with the citations and cited domains behind it. The assistant is ChatGPT unless `engine` names claude, perplexity or gemini; an assistant the server has no key for answers not_configured and costs nothing. `samples` (1 to 5, default 1) asks the same question more than once, for a mention rate. Returns metrics per assistant, not the raw answers. Charged per call to the assistant at the price list in credits (see llms.txt), the same as POST /v1/ai/answers: the worst case is held first, only the calls made are charged, and a call where the assistant failed is charged nothing. Gemini, when it searches Google, is a base price plus a price for each distinct search query it runs (the model decides how many; up to 10 a call are held for, and a call is only made when that worst case fits in what is held): you are charged for the queries that ran.	Put a buyer's question to an AI assistant that searches the live web, and see whether a brand and its competitors are named in the answer, in what rank, with the citations and cited domains behind it. The assistant is ChatGPT unless `engine` names claude, perplexity or gemini; an assistant the server has no key for answers not_configured and costs nothing. `samples` (1 to 5, default 1) asks the same question more than once, for a mention rate. Returns metrics per assistant, not the raw answers. Charged per call to the assistant at the price list in credits (see llms.txt), the same as POST /v1/ai/answers: the worst case is held first, only the calls made are charged, and a call where the assistant failed is charged nothing. Gemini, when it searches Google, is a base price plus a price for each distinct search query it runs (the model decides how many; up to 10 a call are held for, and a call is only made when that worst case fits in what is held): you are charged for the queries that ran.	Not declared	Yes	Not declared	Yes
`company_serp_footprint`Audit a company's SERP digital footprint, brand reputation, owned domains, and entity profiles. Separates owned web properties, social/entity profiles (Wikipedia, LinkedIn, Instagram, Crunchbase), Google Maps locations, third-party mentions, and customer brand questions (PAA).	Audit a company's SERP digital footprint, brand reputation, owned domains, and entity profiles. Separates owned web properties, social/entity profiles (Wikipedia, LinkedIn, Instagram, Crunchbase), Google Maps locations, third-party mentions, and customer brand questions (PAA).	Not declared	Yes	Not declared	Yes
`extract_local_places`Extract Google Local Pack (3-pack) and Google Places listings for local queries. Returns place_id/cid, title, rating, review count, address, latitude/longitude, category, phone, and website.	Extract Google Local Pack (3-pack) and Google Places listings for local queries. Returns place_id/cid, title, rating, review count, address, latitude/longitude, category, phone, and website.	Not declared	Yes	Not declared	Yes
`extract_shopping_results`Extract Google Shopping carousel listings for e-commerce and product queries. Returns product title, price, currency, merchant, rating, reviews, image URL, link, and product ID.	Extract Google Shopping carousel listings for e-commerce and product queries. Returns product title, price, currency, merchant, rating, reviews, image URL, link, and product ID.	Not declared	Yes	Not declared	Yes
`find_discussion_candidates`Search Google and filter organic results (positions 1-100) specifically for community discussions and forum threads (Reddit, Quora, HackerNews, StackExchange, niche forums). Ideal for sentiment analysis, user discussions, and customer problem discovery.	Search Google and filter organic results (positions 1-100) specifically for community discussions and forum threads (Reddit, Quora, HackerNews, StackExchange, niche forums). Ideal for sentiment analysis, user discussions, and customer problem discovery.	Not declared	Yes	Not declared	Yes
`geo_citation_radar`Run GEO Citation & Injection Radar for a topic query and brand. Calculates citation probability score (0-100), identifies high-impact Reddit/Quora threads with injection playbooks, extracts listicle PR outreach targets with Vera contacts payload, discovers AEO question gaps from PAA, and produces an LLM-ready markdown injection brief.	Run GEO Citation & Injection Radar for a topic query and brand. Calculates citation probability score (0-100), identifies high-impact Reddit/Quora threads with injection playbooks, extracts listicle PR outreach targets with Vera contacts payload, discovers AEO question gaps from PAA, and produces an LLM-ready markdown injection brief.	Not declared	Yes	Not declared	Yes
`google_serp`Execute a full Google SERP search query with strict Google provenance (depth 10 to 100). Returns verified Google organic results with classification tagging (forums, video, ecommerce) and the results page's features (AI Overview, PAA, Knowledge Graph). The local pack and shopping are add-ons: set local_pack and/or shopping to true to include them. A result searched in the last 24 hours is served from the cache at a lower price; set fresh to true to search live.	Execute a full Google SERP search query with strict Google provenance (depth 10 to 100). Returns verified Google organic results with classification tagging (forums, video, ecommerce) and the results page's features (AI Overview, PAA, Knowledge Graph). The local pack and shopping are add-ons: set local_pack and/or shopping to true to include them. A result searched in the last 24 hours is served from the cache at a lower price; set fresh to true to search live.	Not declared	Yes	Not declared	Yes
`keyword_ideas`Keyword ideas for a seed keyword from Google autocomplete (the seed plus question words or the alphabet), People Also Ask and related searches, cleaned and de-duplicated. Each idea carries its sources and an intent label (question, comparison, commercial, local, informational). Works in Arabic. Ideas only: no search volumes. Charged for the results page (7 credits live, 1 from your cache) plus 7 credits for each autocomplete call that returns suggestions, so at most 14 credits for expand 'none', 70 for 'questions' (the default), 196 for 'alphabet' (210 for an Arabic seed) and 217 for 'all'; it stops early once `limit` ideas are found, which is 12. Set fresh to true to search the results page live; autocomplete is always live.	Keyword ideas for a seed keyword from Google autocomplete (the seed plus question words or the alphabet), People Also Ask and related searches, cleaned and de-duplicated. Each idea carries its sources and an intent label (question, comparison, commercial, local, informational). Works in Arabic. Ideas only: no search volumes. Charged for the results page (7 credits live, 1 from your cache) plus 7 credits for each autocomplete call that returns suggestions, so at most 14 credits for expand 'none', 70 for 'questions' (the default), 196 for 'alphabet' (210 for an Arabic seed) and 217 for 'all'; it stops early once `limit` ideas are found, which is 12. Set fresh to true to search the results page live; autocomplete is always live.	Not declared	Yes	Not declared	Yes

Details

Registry status: Active
Published: Oct 16, 2026
Updated: Oct 16, 2026
Website: Not given
Repository: Not given
Categories (suggested): Search and webSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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