Google Search Console integration for Model Context Protocol (MCP)
Nothing to run from here
Fenlight is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
96/100
tool-list score
8
tools declared
remote
at its publisher
—
calls last 7d
What it does
Google search results, forum threads, local and shopping data, keyword ideas, AI answer tracking.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http fenlight-mcp https://fenlight.waggle.ae/mcp --header 'Authorization: Bearer ${AUTHORIZATION}'
# 2 — ask your agent for something these tools do
# google_serp, find_discussion_candidates, extract_local_places and 5 more
It needs AUTHORIZATION (Your Vera API key as a Bearer token. Create a key, with 3,000 free credits, at vera.waggle.ae): this sends it in the Authorization header from your environment, so export it first — its endpoint answers 401 without it.
Fenlight costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
WAAll 3 servers
waggle3 servers
3 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Claude Code reads AUTHORIZATION (Your Vera API key as a Bearer token. Create a key, with 3,000 free credits, at vera.waggle.ae) from your environment each time it connects and sends it in the Authorization header — its endpoint answers 401 without it — so the key stays out of its config: export it in your shell profile (macOS, Linux), or run setx AUTHORIZATION … and open a new terminal (Windows).
claude mcp add --scope user --transport http fenlight-mcp https://fenlight.waggle.ae/mcp --header 'Authorization: Bearer ${AUTHORIZATION}'Reconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — but its publisher asks for a key of their own on every call.
What it asks of you
It reaches a system of yours, so it needs your own credential rather than the publisher’s: Authorization header — Your Vera API key as a Bearer token. Create a key, with 3,000 free credits, at vera.waggle.ae.. You set it in your own client’s config, on your machine — this marketplace never holds it.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 f
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| location | no | — | |
| gl | string | no | — |
| hl | string | no | — |
| depth | integer | no | — |
| local_pack | boolean | no | — |
| shopping | boolean | no | — |
| fresh | boolean | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| location | no | — | |
| gl | string | no | — |
| hl | string | no | — |
| depth | integer | no | — |
| fresh | boolean | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| location | no | — | |
| gl | string | no | — |
| hl | string | no | — |
| fresh | boolean | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| location | no | — | |
| gl | string | no | — |
| hl | string | no | — |
| fresh | boolean | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | — |
| brand | no | — | |
| domain | no | — | |
| location | string | no | — |
| gl | string | no | — |
| hl | string | no | — |
| depth | integer | no | — |
| engine | string | no | — |
| fresh | boolean | no | — |
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).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| company | string | yes | — |
| domain | no | — | |
| location | string | no | — |
| gl | string | no | — |
| hl | string | no | — |
| depth | integer | no | — |
| fresh | boolean | no | — |
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 c
| Parameter | Type | Required | Notes |
|---|---|---|---|
| seed | string | yes | — |
| gl | no | — | |
| hl | no | — | |
| location | no | — | |
| location_code | no | — | |
| limit | integer | no | — |
| expand | no | — | |
| fresh | boolean | no | — |
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 sa
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prompt | string | yes | The question to put to the assistant, as a buyer would ask it |
| brand | string | yes | Brand name to look for in the answer |
| brand_domain | no | The brand's domain, for example roasters.ae | |
| competitors | no | Competitor names or domains to track | |
| country | string | no | Two-letter ISO country code of the market |
| language | string | no | Language tag of the market, for example en or ar |
| samples | integer | no | Times the question is asked of the assistant |
| engine | string | no | The assistant to ask |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Fenlight or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 96 / 100
Release 0.3.0 · scanned 22 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score96
Findings0 threat · 0 capability
Capabilityminimal
Coveragemanifest
Verificationnot in this report
Surface digeste274d9445df0b1213b1453de86053e7accf230303605f8eb1542b66c51ef22fb
Score vectorthreat 100 → client 96
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| google_serp | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| find_discussion_candidates | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| extract_local_places | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| extract_shopping_results | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| geo_citation_radar | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| company_serp_footprint | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| keyword_ideas | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| ai_answers | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digeste274d9445df0b121
Scanned2026-10-22
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.3.0.
0.3.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Fenlight can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.