"Information about Unreal Engine 5 (UE5)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AEO and SEO research engine for your brand. Studies what gets ranked and cited on a topic, then builds content plans around what your brand can add. Tracks how AI engines mention and cite your brand against competitors, and ranks what to work on next. Requires a Hi, Moose account. Some tools need the desktop app open on a host computer.
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.
Korean public procurement law: rule-engine rulings, statutes search, live court precedents
Ask about Shlok Bam, AI engineer: projects, experience, skills, patents. Live, read-only.
Discover architectural projects, buildings and architects worldwide, and find experienced architectural photographer for museums, cultural buildings and international commissions. Architecture Researcher provides project information, locations, published photographic credits, original source links and guidance on photographic attribution.
Oathlayer is an independent check on AI answers. It checks each answer against independent sources, gives it a clear verification tag, and records it with a permanent doc number that anyone can look up free at oathlayer.com/verify. It reports what happened; it does not judge right or wrong. Works on any topic and with any AI model. Tool: verify_output. Connect at https://mcp.oathlayer.com. The Five Pillars of Trust: Verification Successful - Oath Approved; Verification Threshold Not Met; Various Perspectives Apply; Complex Question - Threshold Reserved; Clarity Needed to Continue. Citation Checks: paste a case citation and Oathlayer checks it against official court sources. Each citation gets a short tag: Confirmed, Unofficial, Mismatched or Not found. If trusted sources report a case was overruled, it says Reported overruled. It checks the citation only, not whether the case supports your argument. Also available as Ask Oathlayer at oathlayer.com/ask (no programming needed) and an API (oathlayer.com/docs). Free trial: 5 free verifications, no card needed (oathlayer.com/signup). Then pay as you go: one credit per check, credits valid 12 months, no subscriptions.
PriceInIndia is a price-comparison assistant for products sold in India. Ask about any product — phones, laptops, cameras, appliances and more — and it searches live listings from Amazon, Flipkart, Croma, Reliance Digital and 50+ other Indian retailers, then shows current prices and the best available offer as interactive product cards with direct links to buy from the retailer. You can also browse product categories to explore. Prices are in INR and come from live listings, so they can change quickly. PriceInIndia is for shopping research only — it does not sell products or process payments.
Hybrid sparse-dense neural search with cross-encoder re-ranking and semantic retrieval over streamable HTTP.
Free, read-only Movie MCP Server from FlickDirect Inc. Version 1.5.1 finds movie and TV facts, cast, available country-specific dates and ratings, trivia, quotes, site-wide news and reviews, CinemaCon coverage, eligible stored interview and show transcripts, podcasts, streaming, soundtrack and Additional Songs links, daily deals and current shop listings. Canonical FlickDirect links accompany matching information, including ordinary movie questions. Reviewed T2 and X2/X-Men 2 defaults are checked against published titles and years; explicit title/year context takes priority. Quote results provide descriptions, brief exact excerpts when supplied, and source links, without invented wording or speakers. Music and purchase links preserve published affiliate parameters; no track lists or scene placement are inferred. Bounded recovery and fresh retrieval preserve the same two read-only tools and existing inputs. Shop inclusion is not a formal endorsement; fetch time does not prove currentness. No full articles, reviews, transcripts, scripts or photographs. Free public access with no FlickDirect account or API key. Usage-derived diagnostics expire within seven days. Host applications control tool selection and final presentation; this does not train model weights.
Free Perplexity citation check for your domain and prompt. 5 calls per caller per day.
Ask Nebula (Mumbai) about AI-first B2B digital marketing: services, sectors, GEO/AEO Answers, blogs.
Search live jobs pulled straight from employer career sites (about 11M openings), read full postings with pay and the employer's apply link, find similar roles, and look up employers' open jobs, pay bands and local hiring demand. Free, no sign-in.
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
AiSeek is a global change-intelligence platform that connects AI assistants and autonomous agents to structured, source-linked information about developments across the world. Rather than providing a conventional news feed, AiSeek focuses on identifying meaningful changes, preserving their context, and making the underlying sources accessible. What a source says (fact) is kept apart from what it may mean (hypothesis). Coverage spans artificial intelligence, technology, global economics, financial markets, companies, government policy, science, and other major domains. The MCP server provides sixteen read-only tools. Every name follows one pattern: list_, get_, search_ or verify_. Changes and context: • list_changes — Browse the newest published changes, newest first, 20 per page. • search_changes — Search changes by words in English, Chinese or Japanese, ranked by relevance. • get_change — One change with its sources: outlet, link, date, evidence level and role. • list_topics — Browse curated topics, optionally by coverage domain. • get_topic — One topic and up to 50 of its recent changes. • get_latest_brief — The latest daily or weekly brief. • list_scheduled_events — Upcoming central-bank decisions, data releases, earnings, rule dates and more. Companies: • search_companies — Find a company by name, alias or ticker. • get_company — A company's profile, listings, recent changes, stated facts and relations. Countries and SeekEarth: • list_countries — Every country with its name and this week's number of changes. • get_country_heat — Change Heat per country against its own normal, with a seven-day series. • get_earth_view — One place and moment on SeekEarth: changes, heat and the Earth's layers. Evidence (SeekTrace): • get_change_history — A change's evidence receipts and what AiSeek knew at an earlier time. • get_receipt — One evidence receipt. • verify_receipt — Check that a stored receipt is unchanged. • list_corrections — Public corrections, newest first. Tool calls need an AiSeek API key (Authorization: Bearer or the x-api-key header), made at aiseek.dev/en/account; the handshake and the tool list are open. Optional connection defaults go on the endpoint URL: ?locale=en|zh|ja&limit=1-50&domain=MARKETS. Answers carry sources and links, never quoted passages.
Search YouTube videos, read transcripts and get public video information in your AI assistant.
A read-only MCP server for finding free product-launch and startup submission directories. The find_directories tool filters by directory type, account and badge requirements, independently checked Ahrefs Domain Rating, and keywords. Results include submission URLs, review wait information and requirements. Published by StarTap at startap.cc; no API key required.
Find products launched since ChatGPT by what they do, and see what people said about them.
CWI Discovery Engine is the sync-licensing discovery layer for AI agents: natural-language brief in, licensable tracks with verified ISRCs and one-signature clearance out. 29 MCP tools (find_tracks_for_brief leads). For general ISRC metadata lookup, we defer to MusicBrainz — we are the licensable-track discovery layer, not a general database.
Growth marketing, SEO and GEO as agent tools: ranked moves, ship them, AI answer 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.
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.
MCP server of "Usilitel Signala" (usilitel-signala.ru), an online shop and installer of cellular signal boosters in Moscow and the Moscow region, Russia. It gives AI assistants live, read-only access to the catalog: repeaters, ready-made kits, boosters, antennas, coaxial cable and cable assemblies, 4G routers and accessories from VEGATEL, Baltic Signal, DalSvyaz and KROKS — more than 1,100 products. Features: • product search and comparison with live prices and stock (synced with the website every 5 minutes); • equipment picks for a site: area, mobile operator or frequency band, calls or internet; • texts of catalog sections, collections, installation services and blog articles; • recent catalog changes: new products, price and stock updates; • contacts, delivery, payment and returns; • a link to the order form on the website, pre-filled with the selection — the customer enters the phone number on the website; no personal data passes through the assistant. Read-only, no authentication required. Data language: Russian.
SEO site audit MCP: up to 5 supplied URLs for on-page issues, plus Lighthouse page-speed scores. On-page and technical SEO checks for up to 5 pages (status code, on-page score, title, meta description, H1, canonical, word count, links, load time and every failed check), plus Lighthouse scores and Core Web Vitals for a page. Use before publishing or after a migration to check up to 5 supplied URLs per audit, or inspect a page's speed. This is a focused SEO Data subset, not an automatic whole-site crawler. Distinguish Lighthouse lab checks from field measurements. 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: - Audit the owned page I provide for title, headings and canonical issues after I approve the API-credit spend. - Within my approved API-credit budget, compare failed technical checks for up to five supplied pages. - After confirming the API-credit cost, report Lighthouse scores and available Core Web Vitals for my page, distinguishing lab checks from field data. Docs: https://docs.crakseo.com/mcp-servers/site-audit
PolarJay is an AI visibility (GEO) tool made in Spain by POLARGATE S.L. (Madrid). It asks AI assistants such as ChatGPT and Claude the questions a buyer would ask, in Spanish and in English, and tells a company whether they recommend it, which competitors they name instead and what to change. This server answers questions about PolarJay itself: what it is, published prices, the FAQ, how to start (free scanner and 7-day trial without a card) and any page of polarjay.com as Markdown. Read-only, no sign-in. Website: https://polarjay.com
Bring YouTube into your AI conversations with ProClipper. Search for videos, discover a creator’s latest uploads, and retrieve YouTube transcripts directly through your AI assistant. Research content, explore videos, and get the information you need without switching between apps.
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.
The live web data engine for teams and agents.
AI-answer-engine visibility scans for local businesses, as agent tools
What people who use a piece of software say about it: vouches, recommends and their reasons.
