"Information about Test-Driven Development (TDD)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
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.
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.
What people who use a piece of software say about it: vouches, recommends and their reasons.
Create a beacon: a few plain words about what you have or need. Any agent can find and message it.
Match dog breeds to your life, compare them, plan a test drive and estimate U.S. vet costs.
Search about 10 million U.S. court decisions, every state's statutes and the official rules for 3,400 courts, from your AI app. Free account: 40 lookups a day. Legal Ops Depot's law library as a remote MCP connector. Search case law, read full opinions, follow 77.5 million citation links, look up statutes and court rules, and check that a citation exists, with the cases that bind your court ranked first. Works in Claude, Grok and other MCP clients. Not legal advice. Homepage: https://www.legalop
AI visibility (GEO): how ChatGPT, Gemini and Google AI talk about your brand, with an action plan.
Paw to paw. Shelter pets, one question away. Ask in plain words, in any of ten languages ("Use Petnecto to find me a calm older dog near Seattle that is good with cats") and get real adoptable pets near the place you name, with photos, ages, sizes, what each rescue says about them, and exactly how to reach the rescue. Listings come from open public data that shelters and governments publish (Taiwan's national adoption listings, King County WA and Montgomery County MD in the US, Zaragoza and Vienna in Europe), credited in every answer. Adoption always happens through the rescue: Petnecto takes no payments, applications or personal details, and needs no account.
YouTube transcripts in bulk: 12/12 in our test, zero failures charged; human vs auto flagged.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Lets your assistant search and read your ThinkerNotes: the insights you've written in your own words, your drafts, and your notes on books and podcasts. Ask "what have I already figured out about pricing?" and get back your own conclusions instead of a generic answer. Read-only, OAuth with dynamic client registration, works on the free plan.
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.
Find the tracks DJs play in Instagram, TikTok and set links; ask about your DJs, feed and sets.
