Get top search queries for a project from Search Console data. Returns query text, total clicks, impressions, avg CTR, avg position. Use for keyword analysis, content strategy, SEO optimization, finding ranking opportunities.
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615,442 tools. Updated 2026-09-27 05:19
"A server for finding SEO (Search Engine Optimization) resources and information" matching MCP tools:
- List indicators, or fetch one indicator's full schema. Cheap, cacheable per session. With no arguments: a compact catalog — ``{"indicators": [...], "count": N}`` — where each entry carries id, name, category, kind, and value_dtype (no description, to keep the discovery scan small). Use it to discover what exists. Pass name='rsi' (id or name, case-insensitive) to get that single indicator's complete entry including its description and params_schema — do this before adding an indicator to a strategy so its parameters are exactly right. Pass compact=False for full entries for everything (large; the MCP server may cap it and set ``truncated_by_mcp`` — prefer compact or name=). Wire optimization: the compact discovery path asks the engine to omit per-entry descriptions (``descriptions=false``) since they are stripped locally anyway; the name= and compact=False paths request them. This is a pure saving — if the engine ignores the param it returns full entries and the local compact strip still yields a lean result.ConnectorNo auth
- Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.ConnectorNo auth
- Enable or disable an AI module on a site. The module must be in the plan's available module list. Requires: API key with write scope. Args: slug: Site identifier module_name: Module to toggle. Available modules: "chatbot" (AI chat widget), "seo" (SEO optimization), "translation" (content translation), "content" (AI content generation) Returns: {"module": "chatbot", "enabled": true, "message": "Module enabled"} Errors: NOT_FOUND: Unknown slug or module not in plan VALIDATION_ERROR: Invalid module nameConnectorNo auth
- Returns a yes/no Kaal Sarp dosha verdict for ONE birth chart -- the condition where the seven classical grahas all fall on one side of the Rahu-Ketu axis -- plus which of the twelve named types it is (Anant, Kulik, Vasuki, Shankhpal and the rest), whether the hemming is full or partial, the houses involved, and a plain explanation of the finding. Use this for 'do I have kaal sarp dosh' questions. It is a different dosha from the Mars one (check_manglik) and from marriage-pair doshas (get_kundli_match); ask for each separately. Read-only deterministic computation (Swiss Ephemeris, Lahiri ayanamsa); no writes, no auth, at least 30 requests/min/IP per server instance, plus a shared engine budget of at least 60/min/IP across all engine-backed tools. Needs an exact birth time -- partial hemming can flip with a few minutes' error.ConnectorNo auth
- Amazon keyword / SEO / PPC data for either a single product (ASIN-scope — terms the product ranks for) or a niche/category (keyword-scope — search data around the term). Every keyword row carries search volume, average sales, CPC and trend; ASIN-scope rows ALSO carry this product's own placement for that term — organic rank + page, sponsored page, and relevance score (rows the product does not rank for are marked "not ranking"). Pure data fetch (no AI analysis). How to use: pick high-volume / low-competition terms for SEO and PPC targeting, use CPC as ad-cost pressure, sum search volumes to gauge niche demand, and for ASIN-scope check organic vs sponsored ranks to spot listing-optimization gaps. Marketplace: if the user has not named a country / Amazon domain in this conversation, ask them once which marketplace they work on and reuse that code for every later call in the chat; do not assume the US. Called without `marketplace`, this tool fetches nothing and answers "MARKETPLACE NEEDED". Money is in that marketplace's local currency. OUTPUT CONTRACT (mandatory): if the result begins with an "Account notice:" paragraph, your reply MUST begin with that exact paragraph copied verbatim — including the [View Plans](url) markdown link — before any analysis. If the result is ONLY that paragraph, it is your entire reply. Never omit, shorten, or paraphrase it.ConnectorAPI key
Matching MCP Servers
- AlicenseDqualityBmaintenanceAgent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.727 PyPIMIT
- AlicenseNot gradedqualityDmaintenanceProvides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.MIT
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Professional SEO auditing: 15 tools, 9 checks, CWV, E-E-A-T, schema, GEO. Free tier.
Search 30,000+ decided U.S. security-clearance (DOHA) decisions: cases, outcomes, statistics, and timelines, with a citable link for every answer. CASE is the searchable public record of DOHA industrial security-clearance decisions from 1996 to the present, refreshed nightly.
- Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cacheConnectorNo auth
- Returns a plain-English usage guide for this server — example requests, what it asks the user for, and the available tools. Call this if the user asks how to use Abby SEO, or to orient yourself before starting. (Same content as the 'getting_started' prompt, exposed as a tool for clients that don't surface MCP prompts.) Takes no arguments.ConnectorNo auth
- This server is not authenticated, so none of its SEO tools will answer. Call this for the exact steps to fix it. Retrying other tools will not help.ConnectorNo auth
- Suggest the top 10 SEO keywords for a topic with estimated relative search volume and difficulty. Use for early keyword ideation and content planning. Based on model training knowledge, not a live lookup; figures are estimates. Not live keyword-tool data; validate volumes in an SEO tool before committing budget. For a posting schedule, use generate-content-calendar. Pay-per-call: $0.04 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.ConnectorNo auth
- Inspect a URL in Google Search Console — check indexing status, crawl errors, mobile usability, and rich results. Use for technical SEO audits, diagnosing why pages aren't appearing in search, or checking mobile-friendliness. Routing: Call get_site_list first to get the correct site_url before inspecting a URLConnectorNo auth
- Search the INDEPENDENT Marginalia web index — a separate crawler that favours text-heavy, ad-light, non-commercial pages: personal sites, technical writing, documentation, forums, academic and hobbyist pages. Use it when mainstream search results are dominated by SEO content, listicles, and marketing pages, or when you want a second opinion from an index that is NOT Google/Bing-derived (unlike serper_search / exa_search / serpapi). Especially good for programming and niche technical topics, obscure or historical subjects, and finding primary/hobbyist sources. Returns url, title, description, a quality score, and how many other results share the domain. Weak for breaking news, e-commerce, and mainstream/celebrity topics — use serper_search for those. Results are CC-BY-NC-SA 4.0 licensed; the licence is returned with every response.ConnectorNo auth
- Query marketing data and analyze any website — analytics, SEO, advertising, e-commerce, CRM, social media, site health & brand identity, competitive intelligence, content creation, and data visualization. Always use a single call, even when the question spans multiple data sources or channels (e.g., GA4 + Google Search Console + Google Ads + CRM). The server auto-routes internally to all needed sources and returns a combined response with the same depth and granularity as individual queries — do NOT split multi-source or multi-channel questions into separate calls.ConnectorOAuth
- Get Reddit subreddit by name with its posts. FAST (default, omit responseType or responseType="fast"): Returns subreddit data with up to 300 posts directly (use limit param to reduce). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100 posts per page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. RESPONSE STRUCTURE: Returns { results: { subreddit: {...}, posts: [...] }, pagination: {...} }. FIELD SELECTION: Use subredditFields for subreddit data optimization, postFields for post data optimization. First searches database for both subreddit and posts, then external API if data is stale or missing. This is a safe, read-only tool for analyzing searchable information.ConnectorOAuth
- Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric result is verbatim from the optimization engine that ran offline — quote them in your reply, do not round or recompute. Call describe_opt_demo first to learn valid scenario_key formats for each demo.ConnectorNo auth
- Parse a User-Agent header into browser, operating system, device and rendering engine. Use when reading server logs or request headers. Runs locally with no network call. Returns JSON {browser:{name,version}, os:{name,version}, device:{type,vendor,model}, engine:{name}}; unknown fields are empty strings.ConnectorNo auth
- Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.ConnectorNo auth
- Parse a User-Agent header into browser, operating system, device and rendering engine. Use when reading server logs or request headers. Runs locally with no network call. Returns JSON {browser:{name,version}, os:{name,version}, device:{type,vendor,model}, engine:{name}}; unknown fields are empty strings.ConnectorNo auth
- List AI modules and their enabled/disabled state for a site. Also returns the list of modules available for the site's plan. Requires: API key with read scope. Args: slug: Site identifier Returns: {"modules": {"chatbot": true, "seo": false, "translation": false, "content": false}, "available": ["chatbot", "seo", "translation", "content"]} Errors: NOT_FOUND: Unknown slugConnectorNo auth
- Reference text on supply-chain network optimization — mixed-integer programming (MIP), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes (facility selection, sourcing, flow constraints, multi-period, BOM/production, multi-objective). Also covers when to reach for optimization vs simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does network optimization work' question. ChiAha's AMOS optimizer (open-source, Odin, GLOP/CBC via OR-Tools) powers the Tariff and Coffee Co-pack demos on the sandbox.ConnectorNo auth
- Full detail on one optimization demo — controls, available scenario keys, sites, fixed parameters, citations, and the key finding the demo illustrates. Use this before get_opt_result to know what scenario_key values are accepted.ConnectorNo auth