mcpbeat Sign in

Fenlight MCP Server

answering

Fenlight is answering right now. Last checked 13 min ago. It exposes 8 tools.

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

Uptime history 10 days of history
10 days agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
203 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 23 October 2026. No other catalogue keeps this.

23 Oct a tool description was rewritten ai_answers

Nothing serious here today

Today is the operative word: we check Fenlight every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add fenlight --transport http https://fenlight.waggle.ae/mcp
Settings → Connectors → Add custom connector, then paste this address
https://fenlight.waggle.ae/mcp
~/.codex/config.toml
[mcp_servers.fenlight]
url = "https://fenlight.waggle.ae/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "fenlight": {
      "url": "https://fenlight.waggle.ae/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "fenlight": {
      "type": "http",
      "url": "https://fenlight.waggle.ae/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

extract
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_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.
answers
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.
company
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).
discussion
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.
geo
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.
google
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.
keyword
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.

Endpoints

URLTransportStateLatencyChecked
https://fenlight.waggle.ae/mcp streamable-http answering 330 ms 13 min ago

Alternatives to Fenlight

same job, measured the same way
Searlo
by searlo

Google SERP, Maps, Shopping, News and AI-answer data for AI agents, from the Searlo search API.

answering
CrawlerData: Google Shopping & SERP
by crawlerdata

Google Shopping products and seller prices, plus Google Search, Images, News and Local results.

answering
SEO Data
by superagnt

SEO data for AI agents: Google SERP, keyword research, backlinks, site audits, AI answer visibility.

answering
Searchwire
by lambdalabshq

SEO data for AI agents: keyword volume, Google results, App Store keywords, domain and name checks.

10 tools answering
ASO Atlas
by asoatlas

ASO for App Store and Google Play: keyword research, rank tracking, in-app feedback and analytics.

answering
Rillow
by rillow

Keyword research, Google's top 10 pages, a content plan and daily rank tracking for your AI agent

answering
SEO Skill
by seoskill

Free Google Search Console MCP: your real GSC, Google Analytics and keyword data for AI agents.

2 170 installs/wk answering
SEO Skill
by iannuttall

Free Google Search Console MCP: your real GSC, Google Analytics and keyword data for AI agents.

answering

Fenlight — questions

Answers built from our own checks of this server.

What can Fenlight do?
It exposes 8 tools, read directly from the server on our last check. Among them: ai_answers, company_serp_footprint, extract_local_places, extract_shopping_results, find_discussion_candidates, geo_citation_radar and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Fenlight working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 203 ms. The bar chart above shows every period we have measured.
How do I connect Fenlight?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Fenlight need an API key?
No. Fenlight completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Fenlight?
It answers our handshake in 203 ms on average, which is faster than 78% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.