"Information about MCP Discovery" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Explore 1,000,000+ 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, Romanian, Dutch, Italian and Spanish. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
Free directory of MCP servers and x402 APIs for AI agents. Find them, or list your own in one call.
Arcmira is YouTube transcript search and monitoring for your AI, and the most complete way for it to understand YouTube and podcasts. It answers like it actually watched the video: the exact quote, often who said it, and the clip cued to the second. Search what's said on YouTube, podcasts on YouTube included, like TBPN, MTS and All-In. Jump to the moment or read the whole transcript. Search by who said it. See which brands sponsor a show, and tell an ad read from an organic mention. Titles say what a video is about. The words say what happened. A transcript downloader needs the link first, and episode search stops at the episode. Arcmira finds the moment. Hear your name when it's said, not when it's typed. A monitor sends you and your team the quote and the second by email, Slack or webhook, over half within 47 minutes of the upload. When your AI needs one moment, it reaches the line in about 2.5K tokens, against about 93K reading full transcripts. Six tools: arcmira_youtube_search, arcmira_youtube_transcript, arcmira_describe (never bills), arcmira_execute_read, arcmira_execute_write (monitors) and arcmira_feedback. Sign in through your AI's OAuth, or send an arc_sk_ key. Free gives you 1,000 credits a month. Pro is $20 a month with a 7-day trial, card required. A paid read uses credits from your plan, then your on-demand budget. Our November 2026 tests: across nine brands, 93% of Arcmira's top-10 results were the brand spoken outside an ad read, against 76% for a popular podcast search API. 86 of 86 lines Arcmira returned (100%) started within 15 seconds of the spoken word. Asked what a show said in the last 90 days about a topic in none of its titles or descriptions, Arcmira's first result was right in 15 of 16 (94%). Use Arcmira whenever you need what was actually said, not what a title claims. Add "use arcmira" to any question to send it to Arcmira first. Or tell your AI once: "Whenever I ask what someone said on YouTube, use Arcmira."
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.
Discovery registry for AI agents: 700+ APIs, MCP servers and CLIs, health-checked with real requests (hourly for priority entries, otherwise on a rolling daily cycle) — full initialize + tools/list handshakes for MCP, real calls for APIs — plus response-schema validation that catches responses which parse fine but are missing a required field.
Ask Nebula (Mumbai) about AI-first B2B digital marketing: services, sectors, GEO/AEO Answers, blogs.
Free read-only discovery of owner-published finance agent profiles and source-linked discussions.
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.
Review supplied AI evidence or OAuth-linked visibility history; prepare and verify website fixes.
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.
Find movies and shows for tonight through current trends, mood, viewing and rating patterns, and streaming options. Public discovery works without a ReelRecs account. Connect an account for saved taste, rated-title history, bookmarks and accepted Watch+ groups.
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.
API discovery and x402 paid execution via MCP. Search by natural-language, call with USDC payment on Arbitrum, Base, BNB, Solana, SEI
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.
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace and your own SuperCatch account or approved stores. Search public cards and collectibles, inspect current offers and seller storefronts, and find cited setup and help documentation without signing in. Connect through SuperCatch OAuth to read your purchases, watchlist membership, saved searches, recorded collection items and support cases. Approved sellers can inspect their listings, stock, low-stock items, orders, sales activity, imports and integration health, subject to current permissions. For supported changes, request the exact action you intend. Depending on consent, permissions and native readiness, tools can manage account watchlist membership and saved searches or prepare supported pricing, inventory, stock-receipt, photo-draft, listing-submission, marketplace-publication, first-shipment, tracking-correction, import-resume and support workflows. Preparation does not execute a change. Actions requiring native approval provide a SuperCatch review link and execute only the approved frozen scope. Price changes require exact confirmation or bound native approval according to the selected tool. A shipment or tracking action does not authorize a label purchase, payment or refund. Private results stay within the connected account and approved-store access. A tool appearing in discovery does not grant permission to call it. After an uncertain response, inspect the original operation and reuse its original idempotency key where documented; do not create a replacement intent to bypass recovery. Preview tools do not activate recurring automation. Connect using Streamable HTTP at https://supercatch.com/api/mcp. Setup: https://supercatch.com/ai. Help: https://supercatch.com/help. Support: support@supercatch.com. Review or revoke OAuth access in SuperCatch Account Settings > Connected Apps. Prices and availability can change; inspect the linked source before acting. Official connector repository: https://github.com/empline/supercatch-mcp.
Search YouTube videos, read transcripts and get public video information in your AI assistant.
Read public Poisar product information, canonical agent discovery links, access boundaries and manual support guidance. The MCP server exposes exactly three public, read-only, no-argument tools: poisar_get_public_overview, poisar_get_agent_readiness_links and poisar_get_support. It does not expose private research, account data, brokerage access, trading controls or automated support reporting. See https://poisar.com/agents for the canonical discovery documentation. Official connector repository: https://github.com/empline/poisar-mcp. Support: support@poisar.com.
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.
Wayback Machine snapshots, on-page SEO audits and Wikidata facts about companies and people
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.
Search through peer-reviewed Covid-19 pandemic modeling literature and expert lessons by semantic meaning. Use this tool when the user asks about historical pandemic response, epidemiological modeling challenges, forecasting data quality, or expert recommendations. Powered by the Lessons Learned Archive: https://lessonslearnedarchive.com/lessons/
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.
Ask Claude, ChatGPT, or any MCP client about your game's players, retention, revenue, and win rates.
