Google Search Console integration for Model Context Protocol (MCP)
Nothing to run from here
SEO Tools 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.
93/100
tool-list score
7
tools declared
remote
at its publisher
—
calls last 7d
What it does
5 pay-per-call SEO tools over MCP. Free discovery, tool calls settle in USDC on Base via x402.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http timzinin-seo-tools-mcp https://api.timzinin.com/mcp/seo-tools
# 2 — ask your agent for something these tools do
# pricing_info, ai-answer-change-alert, ai-crawler-access-checker and 4 more
SEO Tools costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
TIAll 12 servers
timzinin12 servers
5 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 mcp add --scope user --transport http timzinin-seo-tools-mcp https://api.timzinin.com/mcp/seo-toolsReconnect, 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.
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
7 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.
Free — list every paid tool in the 'seo-tools' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
No parameter schema on file.
Ask an LLM the queries that matter to you, compare each answer against its stored baseline and get told what changed — the answer itself and which domains it now cites or stopped citing. One row per query x model. — $0.10/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| queries | array | yes | The prompts a real user would ask (e.g. best crm for small business). Each query is run against every model in models below and compared against the previous run's stored answer for the same query |
| models | array | no | OpenRouter model IDs to check. Grounded options: perplexity/sonar, openai/gpt-4o-mini:online, google/gemini-2.0-flash-001:online. Every model you add multiplies the number of billed rows: rows = |
| lang | string | no | Answer language (e.g. en, ru, tr). |
| openrouterApiKey | string | no | Your OpenRouter API key (https://openrouter.ai/keys). Optional: without it the built-in key is used and the LLM cost is covered by the per-row price. Pass your own key to have tokens billed to your ac |
| maxConcurrency | integer | no | Parallel LLM calls (kept low to respect rate limits and to bound how many LLM calls can be wasted — uncharged — if a run's spend limit is hit mid-run). |
Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website. Bulk audit of robots.txt rules, llms.txt presence and sitemap for AI search visibility (GEO/AEO). — $0.01/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| websites | array | yes | List of website URLs or domains to audit (e.g. example.com or https://example.com). |
| maxConcurrency | integer | no | How many websites to check in parallel. |
For each query that matters, see which sources and domains AI assistants cite in their answer — grounded via Perplexity Sonar, GPT or Gemini through your own OpenRouter key. GEO citation tracking: the backlink profile of the AI-answer era. — $0.10/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| queries | array | yes | The prompts a real user would ask (e.g. best project management software, how to choose a CRM). Each query is run against EVERY model in models below, and you are charged per query × model pair, |
| models | array | no | OpenRouter model IDs to test. Grounded options: perplexity/sonar, openai/gpt-4o-mini:online, google/gemini-2.0-flash-001:online. Every model you add here multiplies the number of billed rows: ro |
| lang | string | no | Answer language (e.g. en, ru, tr). |
| openrouterApiKey | string | no | Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanl |
| maxConcurrency | integer | no | Parallel LLM calls (kept low to respect rate limits). |
For each query that matters, check whether AI assistants recommend YOUR brand — and which competitors they cite instead. Grounded answers from Perplexity Sonar, GPT and Gemini via your own OpenRouter key. This is GEO: the SEO of the AI era. — $0.10/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand | string | yes | The brand, product or company you want to track in AI answers. |
| queries | array | yes | The prompts a real user would ask (e.g. best note-taking app, Notion alternatives). Each query is run against EVERY model in models below, and you are charged per query × model pair, not per que |
| models | array | no | OpenRouter model IDs to test. Grounded options: perplexity/sonar, openai/gpt-4o-mini:online, google/gemini-2.0-flash-001:online. Every model you add here multiplies the number of billed rows: ro |
| lang | string | no | Answer language (e.g. en, ru, tr). |
| openrouterApiKey | string | no | Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanl |
| maxConcurrency | integer | no | Parallel LLM calls (kept low to respect rate limits). |
Give it a domain. It checks whether the site publishes a valid llms.txt / llms-full.txt (the emerging AI-crawler-friendly-docs convention) and whether robots.txt blocks GPTBot, ClaudeBot, Google-Extended, PerplexityBot and 5 other AI crawlers. llms.txt-first, no browser, no LLM, no API key. — $0.01/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| items | array | yes | List of domains to audit for llms.txt presence and AI-crawler robots.txt policy. |
| maxConcurrency | integer | no | How many domains to audit in parallel. |
See exactly how your links look when shared on Telegram, WhatsApp, X, LinkedIn, Slack, Facebook & Discord. Bulk-audit Open Graph and Twitter Card tags, validate preview images, and find what breaks your link previews. — $0.01/call, x402 (USDC on base).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| urls | array | yes | List of page URLs to check (e.g. example.com/article or a full https URL). |
| maxConcurrency | integer | no | How many URLs to check in parallel. |
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 SEO Tools 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 93 / 100
Release 1.0.0 · scanned 20 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 score93
Findings0 threat · 1 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digesta41210699f704508f3694c8702176733f8880c6113c3719d3c7aa1b97752c86a
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| 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. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| pricing_info | no tags | |
| ai-answer-change-alert | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| ai-crawler-access-checker | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| ai-overview-tracker | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| llm-brand-visibility | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| llms-txt-auditor | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| social-preview-checker | 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.
flow-1
Untrusted input can drive an external action even though no sensitive source is exposed.
Supply chain and provenance
Integrityfirst-seen
Surface digesta41210699f704508
Scanned2026-10-20
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 1.0.0.
1.0.0
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 SEO Tools 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.