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A fast first-pass screen against the USPTO federal register — sound-alikes, look-alikes, and same or related classes, in plain English. Below are all Tool descriptions 1. screen_trademark Screen a brand name against the USPTO federal register. Read-only. Use this FIRST for any name. Returns JSON with a plain-English risk verdict (HIGH / MEDIUM-HIGH / MEDIUM / LOW), ranked conflicting marks (each with sound/appearance similarity, class relatedness, live/dead status, owner, serial), and the data-as-of date. Pass format "csv" to get the same results as a spreadsheet (one row per hit) instead of JSON. Limited to 100 screens/day on this server. SCREEN ONLY — not a clearance opinion, not legal advice. After this, use check_global_marks for EU/UK, check_domains for the domain, and watch_mark to monitor the name. 2. trademark_status Authoritative status for ONE mark you already know, by serial number (sn12345678) or registration number (rn1234567). Read-only. Returns JSON with the mark's live/dead status, owner, classes, goods/services, and filing/registration dates. Uses TSDR if a free key is set, otherwise the public Trademark Search record. Use when you have a serial/registration number (e.g. from a screen_trademark hit) and want the authoritative record for that one mark — not for searching by name (use screen_trademark for that). 3. suggest_classes Suggest the Nice classes (1-45) a goods/services description falls under, with reasons. Read-only, pure reasoning — no live data, no register lookup. Input goodsDescription is what you sell (e.g. 'music streaming app'); the more specific it is, the better the classes. Returns JSON with the suggested classes (each with its label), the classes assumed from your wording, and the reasons. Use before filing to pick classes (each class costs $350 to file), or to feed classes into screen_trademark / check_global_marks. Always verify against the USPTO ID Manual for the exact pre-approved description. 4. analyze_name Analyze a brand name's strength WITHOUT checking the register — read-only, offline, deterministic (same name always gives the same result). Returns JSON with the distinctiveness spectrum (fanciful / arbitrary / suggestive / descriptive / generic), phonetic collisions to check, and a checklist (other-language meanings, common-law use, state registers). Optional goodsDescription (what you sell) sharpens the analysis: a descriptive word for those goods scores weaker than the same word for unrelated goods. No live data and no register results — pair it with screen_trademark, which checks the actual federal register. Use this to judge how protectable a name is; use screen_trademark to judge whether it conflicts. 5. compare_marks Compare two specific names side-by-side. Read-only, deterministic — the same two names always give the same scores. Returns JSON with visual similarity, Jaro-Winkler, phonetic (Soundex) similarity, an overall confusion score (0-1), and a risk level. Use to compare two names you already have in mind; use screen_trademark to discover conflicts for a name across the whole register (it also weighs classes and live/dead status, which this does not). Does not assess meaning, commercial impression, or class relatedness. 6. check_domains Check whether a brand name is free to register as a domain. Read-only. Returns JSON with one result per TLD (registered / available / unknown) — all TLDs are checked in parallel. Uses RDAP (the registry's own data, free, no key): 404 = not registered; 'unknown' = the TLD has no RDAP service. Covers .com/.io/.ai/.co/.app/.dev/.net/.org by default, or a custom TLD list. A free domain does NOT mean the trademark is clear, and a taken domain does not block the trademark — domains and trademarks are separate rights, so use screen_trademark for the trademark check. 7. check_global_marks Check a brand name against EU + UK trademark registers via TMview (EUIPO-operated, offices EM + GB). Read-only. Returns JSON with the EU/UK hits scored the same way as screen_trademark, plus the classes used. Use AFTER screen_trademark when you also sell in the EU/UK; the US screen is unaffected if TMview is down. BEST-EFFORT: TMview has no published API and resets connections from plain HTTP clients — when it will not answer, this returns { checked: false, reason } with a manual link instead of failing. A clear EU/UK result is a signal, not clearance. 8. request_watch_code Send a 6-digit verification code to an email address, for watch access. This sends an email (the only side effect) but creates nothing. Call it BEFORE list_watches, unwatch_mark, or attaching an email to a watch with watch_mark. The code expires in 10 minutes (5 tries); verifying it returns a 60-minute session token you can reuse for the other watch tools. A code is sent even if the email has no watches, so the response never reveals whether an address has watches. 9. watch_mark Start watching a mark for NEW confusingly similar filings. This CREATES a watch (a side effect — it stores the watch and sends a confirmation email with the stop link). Runs a baseline screen first — everything already on the register is marked seen, so you are only alerted on filings that appear AFTER the watch starts. Returns JSON with the watch id, its classes/threshold/schedule, and the baseline hits (for context). Check for new filings with check_watches, or let the scheduled checker run (daily by default, or weekly / every N days if you set a schedule). An email is required — it is the watch's owner, and the digest goes there (needs RESEND_API_KEY on the server; without it the watch still works and records hits, and alerts start once email is switched on). The email must be verified first — call request_watch_code, then pass the email and code (or the session token); without verification the watch is refused, so nobody can attach someone else's inbox. SCREEN ONLY — not clearance, not legal advice. 10. list_watches List the watches you ALREADY have — a read-only view, it does NOT check for new filings. Returns JSON with each watch's mark, classes, threshold, schedule, created/last-checked dates, total alerts so far, and the most recent new hits. Use this to see what you are watching; use check_watches to actually run a check for new filings right now. Private to one email — pass the email and the 6-digit code from request_watch_code, or a session token from a previous verification. No email addresses are ever returned. 11. unwatch_mark Stop watching a mark. This DELETES the watch (a side effect — it is removed and will no longer be checked). Returns JSON { removed, ok: true }. If the watch has an email, you must prove you own it — pass the email and the 6-digit code from request_watch_code, or a session token. A watch with no email needs no verification. 12. check_watches Run a check for NEW filings RIGHT NOW (on all your watches, or one by id) — this actually queries the register, unlike list_watches which only shows what you have. Returns JSON with only the filings that appeared since the watch started / last check, scored by risk. Use this when you want fresh results immediately; the scheduled checker also runs daily at 09:00 on each watch's own cadence (daily by default). SCREEN ONLY — not clearance, not legal advice.
Arcmira is YouTube transcript search and monitoring for your AI, and the most complete way for it to understand YouTube and podcasts. It answers like it actually watched the video: the exact quote, often who said it, and the clip cued to the second. Search what's said on YouTube, podcasts on YouTube included, like TBPN, MTS and All-In. Jump to the moment or read the whole transcript. Search by who said it. See which brands sponsor a show, and tell an ad read from an organic mention. Titles say what a video is about. The words say what happened. A transcript downloader needs the link first, and episode search stops at the episode. Arcmira finds the moment. Hear your name when it's said, not when it's typed. A monitor sends you and your team the quote and the second by email, Slack or webhook, over half within 47 minutes of the upload. When your AI needs one moment, it reaches the line in about 2.5K tokens, against about 93K reading full transcripts. Six tools: arcmira_youtube_search, arcmira_youtube_transcript, arcmira_describe (never bills), arcmira_execute_read, arcmira_execute_write (monitors) and arcmira_feedback. Sign in through your AI's OAuth, or send an arc_sk_ key. Free gives you 1,000 credits a month. Pro is $20 a month with a 7-day trial, card required. A paid read uses credits from your plan, then your on-demand budget. Our November 2026 tests: across nine brands, 93% of Arcmira's top-10 results were the brand spoken outside an ad read, against 76% for a popular podcast search API. 86 of 86 lines Arcmira returned (100%) started within 15 seconds of the spoken word. Asked what a show said in the last 90 days about a topic in none of its titles or descriptions, Arcmira's first result was right in 15 of 16 (94%). Use Arcmira whenever you need what was actually said, not what a title claims. Add "use arcmira" to any question to send it to Arcmira first. Or tell your AI once: "Whenever I ask what someone said on YouTube, use Arcmira."
Public company research with 9 focused tools: technology, hiring intent, open jobs, job changes, Google Ads and published contacts. Get a qualifying four-signal company profile for $0.03, plus breakout_summary growth estimates. Start with the free labeled example.com sandbox, 10 free successful calls per agent per UTC day (subject to a shared network ceiling), or an eligible 25-call trial. Setup: https://gethirepulse.xyz/?ref=glama-b2b#start-b2b . Reconnect to https://gethirepulse.xyz/mcp for all 27 tools, including batch and footprint research. Growth signals are estimates.
Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.
Search 12,338 curated, SAMHSA-sourced addiction treatment facilities across all 50 US states.
70+ pay-per-call tools for AI agents: web search, email verify, KYC, stocks, crypto, news, data
All public upAPI operations as MCP tools: web scraping, search, screenshots, PDF, OCR and more.
Search university course materials, your flashcards, quizzes, streak and quota. All tools read-only.
Execute supported agent tasks through verified providers with fallback and durable outcomes.
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace and your own SuperCatch account or approved stores. Search public cards and collectibles, inspect current offers and seller storefronts, and find cited setup and help documentation without signing in. Connect through SuperCatch OAuth to read your purchases, watchlist membership, saved searches, recorded collection items and support cases. Approved sellers can inspect their listings, stock, low-stock items, orders, sales activity, imports and integration health, subject to current permissions. For supported changes, request the exact action you intend. Depending on consent, permissions and native readiness, tools can manage account watchlist membership and saved searches or prepare supported pricing, inventory, stock-receipt, photo-draft, listing-submission, marketplace-publication, first-shipment, tracking-correction, import-resume and support workflows. Preparation does not execute a change. Actions requiring native approval provide a SuperCatch review link and execute only the approved frozen scope. Price changes require exact confirmation or bound native approval according to the selected tool. A shipment or tracking action does not authorize a label purchase, payment or refund. Private results stay within the connected account and approved-store access. A tool appearing in discovery does not grant permission to call it. After an uncertain response, inspect the original operation and reuse its original idempotency key where documented; do not create a replacement intent to bypass recovery. Preview tools do not activate recurring automation. Connect using Streamable HTTP at https://supercatch.com/api/mcp. Setup: https://supercatch.com/ai. Help: https://supercatch.com/help. Support: support@supercatch.com. Review or revoke OAuth access in SuperCatch Account Settings > Connected Apps. Prices and availability can change; inspect the linked source before acting. Official connector repository: https://github.com/empline/supercatch-mcp.
Information about all flea-markets (loppemarked) in Norway. Search, filter by area, date. Read guides and tips.
# **RChilli** RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli’s HR data intelligence platform through AI-callable tools. Built on 15+ years of HR data intelligence, RChilli supports ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. The tools return consistent, structured JSON responses for recruiting, talent intelligence, skills, matching, compliance, and HR workflow use cases. `userkey` and `subuserid` are injected automatically from the Bearer token and must not be passed manually. <br> --- <br> # **Available Tools** <br> > ### **`analyze_hr_call`** > > Transcribes and analyzes HR or recruiting call recordings to extract speaker turns, sentiment, candidate intent, action items, skill mentions, and structured follow-up data for recruiting operations. <br> > ### **`analyze_skill_adjacency`** > > Identifies related, adjacent, and transferable skills to support skill discovery, talent mobility, workforce planning, and candidate evaluation. <br> > ### **`analyze_skill_gap`** > > Compares candidate or employee skills against a target job and returns present skills, missing skills, readiness score, and development areas for hiring, internal mobility, and workforce planning. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to standardized taxonomy profiles from the moment a recruiter starts typing. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string and returns ranked autocomplete suggestions with canonical skill names and categories. Helps prevent free-text entry errors and keeps skill data clean. <br> > ### **`classify_job_zone`** > > Reads the job profile from a resume or job description and returns its O*NET Job Zone, from Zone 1 through Zone 5, based on the education, experience, and training preparation required for the role. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Useful as a pre-processing step before extracting data from non-standard document formats. <br> > ### **`detect_bias`** > > Reviews job descriptions and hiring criteria for gendered language, age-coded terms, unnecessary credential inflation, cultural exclusion signals, and related compliance risks. Suggests neutral replacements. <br> > ### **`detect_resume_suspicion`** > > Reviews candidate profile data for possible inconsistencies, unusual claims, timeline conflicts, missing context, and other signals that require recruiter review. <br> > ### **`extract_contacts`** > > Identifies and structures names, emails, phone numbers, LinkedIn URLs, and addresses with field-level confidence scores from candidate records, emails, or documents. <br> > ### **`extract_job_data`** > > Extracts and converts job descriptions into structured hiring data including job title, required skills, preferred skills, responsibilities, experience, education, and taxonomy-normalized role requirements. <br> > ### **`extract_resume_data`** > > Extracts and converts resumes, CVs, and candidate documents into structured, searchable profiles with contact details, skills, experience, education, certifications, and taxonomy-enriched data for ATS, HCM, and AI recruiting workflows. Supports multilingual extraction, batch processing, resume auto-fill, and reprocessing of historical resumes. <br> > ### **`extract_resume_data_from_url`** > > Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as Resume Data Extraction. Ideal for resumes stored in cloud storage, S3, email attachments, or other URL-accessible sources. <br> > ### **`find_matches_in_index`** > > Accepts a resume or job description as input and returns the top matching documents from the indexed corpus, ranked by semantic similarity. <br> > ### **`generate_interview_questions`** > > Creates technical, behavioral, situational, and competency-based interview questions tailored to a role and candidate profile, including question type, competency, and expected answer signals. <br> > ### **`generate_jd`** > > Generates structured job descriptions with title, responsibilities, required skills, preferred skills, qualifications, tone alignment, language support, and inclusivity scoring from role inputs. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Supports radius-based candidate search and workforce planning. <br> > ### **`index_document`** > > Indexes a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused across candidate matching, job matching, and similarity-search workflows. <br> > ### **`lookup_job_profile`** > > Returns authoritative detail for a known job profile including canonical title, SOC/O*NET code, job family, typical required and preferred skills, salary bands, and work context. <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, aliases, related skills, proficiency levels, and O*NET or ESCO mappings. <br> > ### **`map_job_to_skills`** > > Converts job descriptions into granular skill maps with required and preferred skill clusters, proficiency signals, taxonomy tags, and downstream matching attributes. <br> > ### **`match_end_to_end`** > > Orchestrates data extraction, indexing, taxonomy normalization, and matching to return ranked candidates or jobs with scores, explainable results, and an audit trail from a single call. <br> > ### **`normalize_candidate_data`** > > Cleans and normalizes candidate records from multiple ATS or HR systems, resolves field conflicts, deduplicates records, and produces standardized candidate data with a field-level change log. <br> > ### **`normalize_hr_data_with_lov`** > > Maps raw and inconsistent HR data values, including degrees, universities, certifications, job profiles, skills, and locations, to the closest configured List of Values entry with a standardized value and confidence score. <br> > ### **`recommend_learning_path`** > > Builds structured learning paths with prerequisites, skill sequence, certifications, proficiency targets, and LMS alignment based on a person’s profile and target role. <br> > ### **`redact_resume`** > > Redacts configured personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. <br> > ### **`reformat_resume_with_template`** > > Applies one of the RChilli resume templates, TM001 through TM006, to a structured candidate profile and produces a consistently formatted PDF, DOCX, RTF, or HTML document. <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one job description and returns an overall match score, dimension scores, matched skills, skill gaps, and a natural-language explanation. No index is required. <br> > ### **`screen_application_batch`** > > Evaluates a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions for each candidate. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant’s indexed corpus. Supports Boolean and semantic search modes. <br> > ### **`skill_mapping`** > > Maps raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. <br> > ### **`tag_entities`** > > Annotates extracted HR text by wrapping recognized entities in structured XML-style labels. Supported entities include job titles, skills, names, degrees, organizations, locations, countries, dates, and years.
Pay-per-call company, SEC, recall, package and domain lookups, PDF to markdown, site audits (x402)
SEO data MCP: SERP, keywords, backlinks, live rank checks, page audits, local and AI checks. Every SEO data tool in one server: Google and Bing SERP results, live rank checks, AI Overview sources, keyword search volume, ideas and difficulty, backlinks, referring domains and anchors, ranked keywords, competitor domains and keyword gaps, site audits with Lighthouse scores, Google Maps rankings, Google Business Profiles, and ChatGPT and Perplexity brand mentions. Start here for paid SEO research with one connection. Includes all seven focused SEO data servers' tools at the same prices and from the same API-credit balance; do not connect both for duplicate results. Search Console reporting and URL Indexing are separate connections. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - After I approve the API-credit cost, compare US search volume and difficulty for 'trail running shoes' and 'running shoes for flat feet'. - For the domain I provide, check its backlink summary, referring domains and anchor texts after confirming the API-credit spend. - Compare live Google positions and competitor keyword opportunities for my domain and keywords, within the API-credit budget I approve. Docs: https://docs.crakseo.com/mcp-servers/seo
Search GenesisPay's catalog of x402 APIs, digital and physical products and shops: prices in USDC, trending items and verified reviews, each with a link to its page. Read-only, no sign-in; buying happens on genesispay.finance.
Nationwide Japanese ramen shop database — 62,000+ shops across all 47 prefectures. Geo search (lat/lng + radius), prefecture/city filter, 14-value ramen-style taxonomy, nearest-station data, and monthly closure tracking. No auth required.
Official MCP server providing AI assistants with direct access to Stimulsoft Reports & Dashboards developer documentation. Enables semantic search across FAQ, Programming Manual, Server Manual, User Manual, and Server/Cloud API references across all Stimulsoft platforms (.NET, WPF, Avalonia, WEB, Blazor, Angular, React, JS, PHP, Java, Python).
Twitter/X, YouTube, Reddit, Google and more - 100+ endpoints in total. No account, no OAuth, no subscription. Pay per call in USDC, or top up once and spend one balance across all of them.
Search and compare Polish bank offers in real time. Find the best savings accounts, deposits, personal accounts, and business accounts. Browse active bank promotions with expert analysis of hidden fees and traps. Get referral codes for bonuses and calculate deposit interest with tax. 11 tools covering all Polish banking products.
Search and read your recorded meetings: notes, action items, participants, transcripts.
Your agent needs to know what a community actually thinks — which subreddit is discussing your category, what the top posts argue, what the comment tree says underneath. **What you can ask for** • "Which subreddits discuss project-management tools, and how big are they?" • "Find posts complaining about Notion pricing in the last month." • "Read the full comment tree on this thread and summarise the disagreement." • "What is r/selfhosted posting about this week?" • "Search every community for mentions of our product name." **How to use it** Point any MCP client at https://mcp.aisa.one/reddit/mcp and sign in with OAuth — there is no key to create or paste. 5 read tools: search across all of Reddit or inside one subreddit, browse a subreddit's post stream, read a subreddit's details, and pull a post's comment tree. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the complaint here, then ask the same agent what the competitor's traffic or backlinks look like — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/social/mcp for X plus Instagram, Reddit, Pinterest and YouTube; https://mcp.aisa.one/gtm/mcp for those plus Similarweb and Apollo.
Your brand is now answered about, not just ranked. Your agent needs to know whether ChatGPT, Claude, Gemini and Perplexity name you when someone asks about your category — and what they cite instead. **What you can ask for** • "Ask ChatGPT, Claude, Gemini and Perplexity 'best CRM for startups' and tell me who gets named." • "How often is our brand mentioned across AI answers this month, and is it rising?" • "Which domains get cited most in answers about this topic?" • "Which of our pages do the models quote?" • "How much search volume sits behind the prompts people actually type?" **How to use it** Point any MCP client at https://mcp.aisa.one/seo-ai-visibility/mcp and sign in with OAuth — there is no key to create or paste. 23 tools: live responses from ChatGPT, Claude, Gemini and Perplexity, the raw scraped answer page where you need it, plus brand-mention search, aggregated and cross metrics, top cited domains and top cited pages, and AI keyword volume. **Why this rather than the source** Four engines measured the same way, so the comparison is between models rather than between vendors' methodologies. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find who the models cite here, then ask the same agent for that domain's backlinks or traffic to see why — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Access Versium's B2B2C identity graph directly through your AI agent. Generate targeted lead lists, enrich records with contact and firmographic data, validate emails, and size audiences — all through natural language. No manual exports or API coding required. Requires an active Versium REACH subscription with API access.
Search products in nearby stores. Agents can also list items for sale on a user's behalf.
Real-time options analytics MCP server. Access gamma exposure (GEX), delta exposure (DEX), vanna exposure (VEX), dealer positioning, volatility surfaces, Black-Scholes greeks, implied volatility solver, and key options levels for any US equity — all through natural language. 14 read-only tools covering exposure metrics, volatility analysis, pricing, and market data.
Search remote jobs, post job listings, find remote candidates, check salary benchmarks, and manage your career, all through AI conversation. The Himalayas MCP server connects your AI assistant to the Himalayas remote jobs marketplace in real time.
CatchAll is a web search API built for comprehensive event retrieval — not ranked results, but all matching records.
Your agent needs app-store data — what an app looks like on the App Store and Google Play, what reviewers say, and what ranks for a search in a given country. **What you can ask for** • "What does this app's store listing look like, and how is it rated?" • "Pull recent reviews for this app and group the complaints." • "What apps rank for this search term in Japan?" • "List the top apps in this category on both stores." • "Compare this app's listing on iOS and Android." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-apps/mcp and sign in with OAuth — there is no key to create or paste. 37 tools: Apple App Store and Google Play app info, app lists, category listings, reviews and store search results, in live and queued forms, with categories, languages and locations for each. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the store listing here, then ask the same agent what the app's website ranks for — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Your agent needs the Google results page as it actually renders — organic and paid, the AI overview, maps, images, news, jobs and the finance panel — not a scraped guess. **What you can ask for** • "What does the SERP for this keyword look like in Germany, on mobile?" • "Does this query trigger an AI overview, and what does it say?" • "Who is advertising against our brand name?" • "Find local results and the map pack for this phrase." • "Search Google by this image and tell me where else it appears." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-serp/mcp and sign in with OAuth — there is no key to create or paste. 38 tools across Google's surfaces: organic, ads and advertisers, AI mode, autocomplete, images, news, maps and local, events, jobs, datasets, scholar, finance quotes and markets, plus Semrush's organic and paid result sets. **Why this rather than the source** Location and language are parameters, so you can read the page a customer in another country sees. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the SERP here, then ask the same agent who links to the winner or how much traffic they get — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo-serp-other-engines/mcp for Bing, Yahoo, Baidu, Naver, Seznam and YouTube. https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Your agent needs what customers say in public — Google Business profiles and reviews, Trustpilot, Tripadvisor, hotel listings and the Q&A under a listing. **What you can ask for** • "Pull this business's Google reviews and group the complaints." • "What do Trustpilot reviewers say about this competitor?" • "Find hotels matching this search and their live prices." • "What questions are people asking on this Google listing, and are they answered?" • "Search listings for this category in this city." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-business/mcp and sign in with OAuth — there is no key to create or paste. 22 tools: Google Business info, reviews, extended reviews, updates and Q&A; Trustpilot and Tripadvisor search and reviews; Google hotel info and searches; business listing search; plus Reddit and Pinterest signals for a business. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the reviews here, then ask the same agent what that business ranks for or who links to it — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
