"Firebase Firestore Database Information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
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.
Search and retrieve technical specifications (TDS) for industrial materials, specialty chemicals, high-temp lubricants, and PFAS/Novec alternatives. Compare parameters (temperature range, viscosity, standards like MIL/NSF/RoHS) and submit B2B quote requests directly. Baza parametrów technicznych (TDS) dla chemii przemysłowej, klejów technicznych, smarów wysokotemperaturowych oraz zamienników PFAS/Novec. Wyszukiwanie po normach (MIL, NSF, RoHS), zakresie temperatur i wysyłanie zapytań ofertowych
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.
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.
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.
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.
Find your next B2B customers. Know why they fit. Describe the companies you want to reach. Leadbase researches matching businesses and relevant decision-makers, then saves the results with sources in an editable sheet. Start with 200 free credits in a new workspace and test your own target market. Qualify companies by the criteria that matter to your offer: services, region and publicly evidenced business signals. Research DACH SMEs and German craft businesses alongside other target markets. Turn existing accounts into a more useful prospect list. Enrich selected rows or entire columns, research relevant professional contacts and check available contact details. Review the evidence behind returned information before choosing your next step. Keep control of the result. Follow progress, edit your sheet, filter the list and export the data. Continue the same research instead of rebuilding the list each time. Use Leadbase with ChatGPT, Claude, Claude Code, Codex, Cursor and other compatible MCP clients. Connect your workspace and ask for a small list in your own target market. Research uses workspace credits.
Search the public catalogs of AI Act Selbstcheck, AestheticMindworks and WeedSeeds4U. Find EU AI Act workbooks, digital apps, guides, avatar packs and CBD/CBG information, with EUR prices where available and links to the original listings. Read-only Streamable HTTP MCP; no login or API key required.
Search open jobs in Switzerland and Liechtenstein by keywords and filters, and read job details with requirements, workload, salary information and a link to the original advert. Public, read-only MCP server; no account or API key required.
NordicContacts provides read-only company and decision-maker data for Finland, Sweden and Estonia through a hosted MCP server. Identify companies, count matching segments and retrieve company or contact records for B2B prospecting. Connect to https://nordiccontacts.eu/mcp using Streamable HTTP. You need a NordicContacts account with an active trial or subscription. Sign in and approve access through OAuth. For clients without OAuth support, create an API token in your NordicContacts account and configure Bearer authentication; do not share the token in a chat or public listing. Eligible new accounts receive a one-month trial with 50 shared usage units and no credit card requirement. Starter costs €49/month with 500 included units; Pro costs €79/month with 1,000 included units. Paid prices exclude VAT; applicable VAT is calculated at checkout. The trial is not a recurring free allowance. Service information, taxonomy discovery and segment-count tools do not consume balance. Record-retrieval tools, including company identification, consume the same balance as REST API retrieval and subscribed Excel exports: included units first, then prepaid top-ups. Completed retrieval calls have a one-unit minimum, including calls with no match. Exact charging is documented per tool; do not treat every MCP call as one contact. The MCP server does not create Excel files, send outreach or update CRM records. Excel downloads and Pro's HubSpot/Pipedrive integrations are separate web-application workflows. A one-time Excel purchase alone does not grant MCP access. Setup and tool reference: https://nordiccontacts.eu/agents/docs
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.
Read-only CloudMedico product information with verified source links.
Search AutoID products Search the official AutoID catalog by model, SKU or text. Use… Get AutoID product group Returns authoritative grouped-product information for an AutoID… List AutoID product variants Lists exact SKUs belonging to an AutoID grouped product. Default… Get exact AutoID SKU Returns canonical data for an exact AutoID SKU. Use this for… Get live AutoID price and stock Returns the current authoritative AutoID offer for an exact SKU… Get compatible AutoID related products
Polish property on Gratka.pl/Morizon.pl (one database): flats, houses, plots, premises, buy or rent.
Trivia MCP — wraps Open Trivia Database (free, no auth)
Scryfall MCP — Magic: The Gathering card database. Keyless. Scryfall requires a User-Agent and…
OEIS (On-Line Encyclopedia of Integer Sequences) MCP. Authoritative database of integer sequences.…
ReliefWeb MCP — the UN OCHA humanitarian information service.
Read-only public information about Pontis: what it does, its gatherings, content and focus.
GeoNames MCP — GeoNames geographical database API
CIPO MCP — Canadian Patents Database
Read-only public services, cases, resources and FAQ from Chenfeng AI.
An MCP server for search and retrieval over a local LanceDB database
Counts calories and macros for any meal you describe (by weight, count or portion, in 19 languages) and returns a nutrition card with calories, protein, carbs, fat, fiber, sugar and salt per food, looked up in the BodyPal food database (USDA data and product labels). Read-only, no auth, no account. Live in the ChatGPT app directory. Publisher: Vancko Systems Ltd, https://bodypalapp.com
