"Google's email service" matching MCP connectors:
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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.
Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.
Find local businesses across Cape Town, the Winelands and the rest of the Western Cape. Search by service or name, see menus and price lists in rand, then start a booking, quote or order in WRDO.
Gmail, Outlook, Hotmail, Microsoft 365, iCloud, Fastmail, other IMAP mailboxes: search, read, send.
Find agencies worldwide by service and location, with editorial ratings and contact details.
GPU cluster sourcing: describe the run, get a sized requirement, quotes compared by email
Real-time Google Flights fares for agents. Three things people do with this server. Scan for deals: one call takes a date range and a list of destination airports, expands every combination server side, and returns each fare with Google's own low, typical or high verdict. Put live search in your app: flat JSON with a bookable link on every result, and round trips priced as paired legs. Run a 24/7 AI travel agent: add the server, sign in with Google, and schedule it. No ads, no sponsored content. You bring your own RapidAPI key, so every search is billed to your plan and never to anyone else's. Add https://flights.flightpowers.com/mcp , click Sign in, sign in with Google, and paste your RapidAPI key once on the page that opens. Scripts and clients without a sign-in button send the key as x-rapidapi-key on the same URL.
70+ pay-per-call tools for AI agents: web search, email verify, KYC, stocks, crypto, news, data
Email finder and enrichment: LinkedIn, GitHub, or a person's name on any page, X and YouTube too.
AI search visibility MCP: brand mentions in ChatGPT and Perplexity, Google AI Overview citations. Whether ChatGPT and Perplexity mention a brand for a buyer's question and which sources they cite, and which pages Google's AI Overview cites for a keyword. Use to check brand mentions and cited sources for specific ChatGPT or Perplexity prompts, or Google AI Overview citations for a keyword. This focused SEO Data subset provides sampled checks, not continuous monitoring or an overall visibility score. 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: - Check whether ChatGPT mentions my brand for the buyer question I provide, after I approve the API-credit spend. - Within my approved API-credit budget, check Perplexity brand mentions and cited sources for my prompt. - After confirming the API-credit cost, show Google's AI Overview sources for my keyword and report when no overview is returned. Docs: https://docs.crakseo.com/mcp-servers/ai-visibility
Look up Swedish name days by date or name. Find out which names are celebrated today, discover the names associated with any calendar date, or find the name day for a specific name. The service provides Swedish name day information, including name meanings, cultural and historical background, alternative spellings, and name variants.
Ainovaq AI venture studio: list services, get service details, search the blog, contact info.
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace. Discover cards, inspect listing prices and availability, find seller storefronts, and review your own account or store data through focused MCP tools. ## For collectors Search listings by player, set, year, or keyword. Look up a product's current price, condition, availability, and active-listing count, then open the canonical SuperCatch page. Connect your account to read your purchases, order statuses, and watchlist, including saved price-alert targets. ## For sellers Review your store's listings, prices, quantities, inventory totals, and recent orders. Seller tools use the approved store owned by the connected account. ## Review pricing changes Preview one-time price changes for RAW, graded, or all cards. Choose At Market, Above Market, or Move Fast, and review increases, decreases, or both. Proposals use condition- or grade-specific market guidance and applicable pricing limits. Review exact prices and skipped listings in SuperCatch, then explicitly confirm Apply. Each batch covers up to 50 cards; reviews expire after 10 minutes and changed proposals require fresh approval. ## Plan ongoing repricing and marketplace publishing Prepare separate proposals for recurring repricing or publishing through your connected marketplace integrations. Review the affected cards, settings, connection, and safeguards inside SuperCatch before confirming. Graded automatic repricing requires explicit enrollment and suitable grade-specific comps. These preview tools do not activate automation, publish listings, or change prices directly. ## Try asking - Find Michael Jordan cards on SuperCatch. - Show my recent purchases and order statuses. - Which cards are on my watchlist? - Summarize my store inventory and recent orders. - Preview Above Market prices for my graded cards. - Prepare an automatic-repricing proposal for my RAW cards. - Find public documentation about managing listings. ## Connect and control access Add https://supercatch.com/api/mcp to a compatible MCP client using Streamable HTTP. Public marketplace, product, storefront, and public-documentation reads need no SuperCatch account. Private tools require sign-in and OAuth consent. Account documentation requires docs:read; staff guides also check your current role. Review or revoke access in Account Settings > Connected Apps. Connecting an assistant does not authorize automatic price changes or publishing. ## Help and support - Setup: https://supercatch.com/ai - Help: https://supercatch.com/help - Email: support@supercatch.com Prices and availability can change; review the linked SuperCatch page before buying.
# **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.
Search and read UmbHost help articles: GreenStack, Umbraco hosting, DNS, email, SSL and more.
Check a domain's email DNS, whether Gmail and Outlook accept its mail, and its registration.
Companies that may buy, and public posts asking for a service: SEC, job boards, HN, Stack Exchange.
Google SERP API MCP: live Google, Bing, AI Overview and Google Maps results as JSON. Pay per call. Live search engine results pages as structured JSON: Google organic results with SERP features and AI Overview sources, Bing results, Google Maps local results, and live Google rank checks for a domain across up to 10 keywords. Use when an agent needs live Google or Bing search results for a keyword, country, language and device. This is a focused subset of SEO Data, not an additional required connection or a scheduled monitoring service. 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: - Show the top ten Google results and SERP features for 'trail running shoes' in the US, after I approve the API-credit spend. - Compare Google and Bing results for my keyword in the same market, within my approved API-credit budget. - After confirming the API-credit cost, report which source URLs Google's AI Overview cites for my keyword. If none is present, say so. Docs: https://docs.crakseo.com/mcp-servers/serp-api
Google indexer: free IndexNow, Bing, sitemap and index checks; paid backlink force indexing Google indexer and URL indexer for AI agents. Free URL submission for sites you own: IndexNow and Bing Webmaster Tools, sitemap resubmission to Google Search Console, and a free index checker (Search Console URL inspection) that finds pages stuck in 'Crawled - currently not indexed' or 'Discovered - currently not indexed'. Force indexing (paid) is the fast indexing service: a backlink indexer and link indexer that pushes any public URL, including backlinks and pages you don't own, to Google through a third-party indexing service so Googlebot crawls it sooner. It uses URL credits, always shows an exact quote first and needs the account owner's approval; Google still decides what it indexes. It never uses the Google Indexing API. Which one do I need? New page missing from Google: Free URL submission + index check first, then Force indexing if still not indexed. Backlinks or links you don't own: Force indexing. 'Crawled - currently not indexed' or 'Discovered - currently not indexed': free index check, then Force indexing. Is my page indexed?: check_if_url_is_indexed (free). Notify Bing and other IndexNow engines: Free URL submission. Fast or instant indexing searches: Force indexing, without any indexing or timing guarantee. Google has no public indexing API, so free submission can't force Google; Force indexing is the paid option. Free URL submission: IndexNow (Bing, Yandex, Seznam, Naver), Bing Webmaster Tools, sitemap resubmission to Google Search Console, and a free Google index checker through Search Console URL Inspection. For sites you own or have connected. Force indexing (paid): 1 URL credit per URL the third-party indexing service accepts. Always an exact quote first, then account-owner approval in the dashboard. No indexing, ranking or timing guarantee. Tools: - Free: Free URL submission: IndexNow (`submit_urls_to_indexnow`) - Free: Free URL submission: Bing Webmaster Tools (`submit_urls_to_bing`) - Free: Free URL submission: IndexNow, Bing and the Google next step (`notify_search_engines_free`) - Free: Free index check: are URLs indexed in Google (`check_if_url_is_indexed`) - Free: Submit a sitemap to Google and Bing (`submit_sitemap`) - Paid: Force indexing: read URL credits and readiness (`get_force_indexing_balance`) - free to call; no purchase or indexing-service call - Paid: Force indexing: quote URLs (backlink and Google indexer) (`quote_force_indexing`) - Paid: Force indexing: submit approved quote (`submit_force_indexing`) - Paid: Force indexing: read job (`get_force_indexing_job`) - Paid: Force indexing: list jobs (`list_force_indexing_jobs`) Example prompts: - "Is https://example.com/new-post indexed in Google? If not, resubmit my sitemap." - "Index these 5 backlinks in Google: quote Force indexing and wait for my approval." - "My pages show 'Crawled – currently not indexed' in Search Console; check them and suggest a fix." Search keywords and tags (most searched first): google indexer, google indexing, page indexer, website indexer, web indexer, indexnow, submit website to google, index checker, google index checker, submit url to google, link indexer, backlink indexer, index backlinks, seo indexer, crawled currently not indexed, discovered currently not indexed, url indexer, google crawl request, indexing service, link indexing service, rapid indexing, request indexing, instant indexing, fast indexing, force indexing, force crawl google Docs: https://docs.crakseo.com/mcp-servers/url-indexing Free URL submission and Force indexing: https://docs.crakseo.com/seo-mcp/managed-indexing
Receipts-verified reviews of x402 services and paid APIs, before your agent pays.
GrowthVector's free marketing knowledge base for AI assistants: search SEO, GEO (AI search), paid ads, email, and affiliate marketing guides, read full pages, look up glossary terms, and get ready-made prompts. GrowthVector (growthvector.io) is a free library of practical marketing guides and tools for small businesses.
126 pay-per-call agent tools via x402: web, crypto safety, agent memory and inbox, API finder
A jobs data API and MCP server. Every listing comes from the employer's own career site, an ATS feed or a government employment service, never resold from another board. Each row names its source and when we last confirmed the vacancy existed, and a role that disappears keeps a closure date and a reason. Six tools: search_jobs, get_job, company_hiring, market_signals, coverage, changes_since.
MCP tools for agents: web research, content extraction, email, DNS, and blockchain intelligence.
B2B company, people and email enrichment with cited sources, built for GCC and MENA companies.
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Keyword research, Google's top 10 pages, a content plan and daily rank tracking for your AI agent
Find and book verified local home service professionals through AI agents.
AI visibility for your brand: which buyer questions name you in ChatGPT, Perplexity, Claude and Google AI Overviews, which competitors AI recommends instead, which sources it cites, and what to fix first. OAuth sign-in with email and a one-time code.
Connect AI tools to Weav customer service. Triage conversations, reply, and manage your Help Center.
