# Fenlight

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

- name: ae.waggle/fenlight
- version: 0.3.0
- connection class: R1 (autonomous)
- trust: 80/100 flags: no-repository
- quality: 81/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/ae.waggle%2Ffenlight
- tools: https://api.protogrid.dev/v1/servers/ae.waggle%2Ffenlight/tools

**An agent can connect on its own if it already holds `FENLIGHT_TOKEN`.** Remote endpoint behind a static API key or header. The registry never sees the value; the agent fills the placeholder.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "fenlight": {
      "type": "http",
      "url": "https://fenlight.waggle.ae/mcp",
      "headers": {
        "Authorization": "Bearer ${FENLIGHT_TOKEN}"
      }
    }
  }
}
```

Placeholders to fill: `${FENLIGHT_TOKEN}`.

## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 45
- drivers: +dns-namespace +reachable +uptime-100% +updated-4d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 81/100 (new)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 86 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 8 of 8 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: google_serp (destructiveHint, idempotentHint); extract_shopping_results (destructiveHint, idempotentHint); geo_citation_radar (destructiveHint, idempotentHint); …
- pass `tools.token_cost`: about 2,116 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 4 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 8, about 2,116 tokens to load them all
- tool set hash: a1058c3278e46600017cc8234e25c1e0
- badge: [![protogrid quality](https://protogrid.dev/badge/ae.waggle/fenlight.svg)](https://protogrid.dev/servers/ae.waggle/fenlight)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://fenlight.waggle.ae/mcp (streamable-http, auth api_key ${FENLIGHT_TOKEN}, reachable true, uptime30d 1)

## Packages

_none_

## Tools (8)

- `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.
- `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).
- `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.
- `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_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_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_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 (3 credits live, 1 from your cache) plus 3 credits for each autocomplete call that returns suggestions, so at most 6 credits for expand 'none', 30 for 'questions' (the default), 84 for 'alphabet' (90 for an Arabic seed) and 93 for 'all'; it stops early once `limit` ideas are found, which is 6. Set fresh to true to search the results page live; autocomplete is always live.