"Information about OBS (Open Broadcaster Software)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Explore 500,000+ active job postings worldwide — in the United States, Europe and other international markets. This public search connection offers five read-only tools: discover supported countries and work filters, find employers, search active jobs, read full postings and inspect market totals. Search and original application links are free. Find full-time roles or remote, part-time, contract and flexible opportunities for extra income. Use declared weekly hours and schedule filters; unknown hours are not invented, and remote does not automatically mean worldwide work eligibility. Check the full posting before applying. Try: “Show supported countries and filters, then find remote part-time jobs with at most 20 declared hours per week”, “Find employers hiring PHP developers in my eligible countries”, or “Open the full posting and original application link for this job”. The Glama discovery profile is deliberately limited to jobs:read. It cannot access a CV, modify a tracker, spend AI credits, send applications or buy anything. The wider roTEAMnet platform also offers confirmed-fact CV preparation, fit analysis, document export and application tracking through separately authorized private tools and the website. A verified free account includes 15 one-time AI credits for those optional workflows. Connect using OAuth. Permissions are scoped and revocable. Interface: English, German, French and Romanian. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
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.
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.
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.
Search open sales jobs (SDR, BDR, account executive, account manager, customer success, sales engineer
Search open tech jobs and companies hiring in Vietnam, refreshed hourly. No key needed to search.
Public company research with 9 focused tools: technology, hiring intent, open jobs, job changes, Google Ads and published contacts. Get a qualifying four-signal company profile for $0.03, plus breakout_summary growth estimates. Start with the free labeled example.com sandbox, 10 free successful calls per agent per UTC day (subject to a shared network ceiling), or an eligible 25-call trial. Setup: https://gethirepulse.xyz/?ref=glama-b2b#start-b2b . Reconnect to https://gethirepulse.xyz/mcp for all 27 tools, including batch and footprint research. Growth signals are estimates.
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.
Ask Nebula (Mumbai) about AI-first B2B digital marketing: services, sectors, GEO/AEO Answers, blogs.
Search 500K+ open jobs from company career sites, save monitors, tailor your resume to a job.
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
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.
Free, read-only price comparison for products sold in Australia. Search products, browse categories, open a product with every seller's current price (eBay Australia, Amazon, JB Hi-Fi and more), and compare two products head to head. No login or API key. Answers come from Lianex's cached catalogue, so they are fast and never place an order or change anything. Docs: https://lianex.ai/developers
Search and fetch tools over the pages of pournasserian.com, Amir Pournasserian's personal website: his writing on MCP, AI agents and RAG, his experience, case studies and open-source projects. No authentication. Runs the open-source mcp-my-site.
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.
Open registry of 1.14M+ rooftop-solar detections across France, queryable by natural language.
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.
Open space-industry jobs (launch, satellites, spacecraft) from 47 employers, with posted pay.
Open jobs at the companies you name, read straight from their public careers boards.
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
Search live software, compare listings, and prepare owned drafts. Publishing stays on the website.
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.
Free open dataset of compliance, security and risk AI agents and audit firms. Read-only search.
Open US class action settlements you may claim, with deadlines, payouts and official claim links.
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.
# **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 open model file records, inspect recorded SHA-256 hashes and license labels, and check estimated memory fit. Public reads need no account. Connect over Streamable HTTP. Public board and request tools require user consent. A matching hash checks bytes; fit and license labels do not establish successful execution or permission for every use. Hosted MCP: https://huggingbay.xyz/api/mcp Install: npx -y hugging-bay-mcp@0.1.13 Docs: https://huggingbay.xyz/docs Repository: https://github.com/barneywohl/hugging-bay
