Fenlight

ae.wagglePublished by waggle.aeOfficial publisherv0.3.0Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableWeb Search & Scraping

Overview

AI-generated overview

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

What you can do
Fenlight is a remote MCP server that supplies search and market-research data to an assistant. According to its registry description it covers Google search results, forum threads, local and shopping data, keyword ideas, and AI answer tracking. No individual tools are listed in the manifest, so the exact operations are not documented here.
When to use it
Worth adding when an assistant needs search-engine results, keyword research, local or shopping listings, forum discussion content, or tracking of AI-generated answers. It is aimed at research and marketing-style lookups rather than general file or code work.
Requirements
A remote streamable HTTP endpoint at nothing is installed locally. An Authorization header is required, carrying a Vera API key as a Bearer token. A key can be created with 3,000 free credits at vera.waggle.ae. Network access to the endpoint is needed.
Before you install
The Authorization header carries a secret API key; treat it as a credential and avoid exposing it in logs or shared configuration. Usage is metered in credits, so queries may consume a limited free allowance and potentially paid credits. Search queries and related parameters are sent to the remote service and to the underlying data sources.

Installation

In SourceWeft

  1. Open Fenlight in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ae.waggle%2Ffenlight/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

Tools

8

google_serp

Google Search Results

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.

Parametersglhldepthfreshqueryrequiredlocationshoppinglocal_pack

find_discussion_candidates

Forum and Discussion Finder

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.

Parametersglhldepthfreshqueryrequiredlocation

extract_local_places

Google 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.

Parametersglhlfreshqueryrequiredlocation

extract_shopping_results

Google 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.

Parametersglhlfreshqueryrequiredlocation

geo_citation_radar

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.

Parametersglhlbranddepthfreshqueryrequireddomainenginelocation

company_serp_footprint

Company Search 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).

Parametersglhldepthfreshdomaincompanyrequiredlocation

keyword_ideas

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.

Parametersglhlseedrequiredfreshlimitexpandlocationlocation_code

ai_answers

AI Answers and Brand Visibility

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.

Parametersbrandrequiredenginepromptrequiredcountrysampleslanguagecompetitorsbrand_domain

Version history

1
  1. v0.3.0LatestOct 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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