"Canonical" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
VAREXIS-INDEX — Source-Linked Evidence & Verification Tools for AI Agents VAREXIS-INDEX provides free, source-linked evidence for agent decisions through twelve focused guides and two distinct read-only MCP connectors. The original `/mcp` connector covers the approved search and preview population. The companion `/mcp/catalogue` provides deterministic access to 696 additional records by category and exact identifier. Configure both through the existing quickstart: https://varexis.tech/index-connect#quickstart Four optional one-time local checkers analyse supported customer-supplied declarations: Tool Admission £49, Audit Coverage £79, Data Exit £79 and Transaction Integrity £149, excluding VAT. These products do not independently inspect live systems, enforce permissions, establish payment settlement, verify deletion or certify compliance. Twelve free decision guides: https://varexis.tech/index-packs#free-decision-guides Read-only agent enquiry navigation (12 guides, 99 referenced records): https://varexis.tech/varexis-index/agent-entry.json Select a candidate guide, then follow the exact connector tool and identifier in the canonical manifest. Navigation does not establish applicability, a customer outcome or authority to act. Evaluate agent permissions, delegated authority, audit provenance, payment integrity, data retention and software supply-chain evidence before relying on documented claims. **FREE MCP CONNECTOR** Endpoint: https://varexis.tech/mcp Connect using Streamable HTTP. No authentication is required for public evidence discovery. Four free, read-only tools: - find_evidence_questions — Find existing reviewed evidence questions and matching routes. - preview_evidence_answer — Retrieve complete supported public answers, sources, limitations and snapshot hashes. - find_package_advisories — Find source-bound software advisory records. - get_index_access_options — Discover available services, pricing, licensing and purchasing requirements. Public MCP cannot execute actions, inspect private systems or authorise deployment. Developer quickstart: https://varexis.tech/index-connect **LICENSED VERIFICATION TOOLS** Four separately licensed, reusable local executables: **1. Agent Tool Admission & Permission Control — £49** Compare declared tool actions, resources, recipients and permissions across supported GitHub, Playwright, Notion and Slack integrations. Identify authority conflicts, missing verification and permission changes before human review. **2. Agent Audit & Evidence Coverage — £79** Reconcile declared identities, authorisations, actions and outcomes. Identify missing audit events, inconsistent references and unresolved export, retention or recovery evidence. **3. Agent Data Exit & Retention Reconciler — £79** Compare declared data inventories, exports, deletions, retention conditions and residual copies. Identify missing evidence and unresolved data-custody conditions during migrations and offboarding. **4. Agent Transaction Integrity & Replay Analyzer — £149** Reconcile declared spending authority, amended transaction terms, scoped idempotency keys, retries and reported outcomes. Identify conflicting purchase attempts and unresolved payment or entitlement evidence. All four products are separately licensed for reusable internal execution. Prices are one-time, exclude applicable VAT and do not include subscriptions, hosting or future updates. Checkers analyse supplied declarations locally. They do not independently inspect production systems, execute payments, enforce permissions, certify compliance or establish financial settlement. Explore all products, representative findings and free previews: https://varexis.tech/index-packs **FREE EVIDENCE PACKS** Seven complete public evidence packs cover: - GitHub and Playwright permission boundaries. - Notion and Slack access and data handling. - Audit and export evidence coverage. - Next.js advisory source assertions. - SonarQube, Snyk and Semgrep scanner trust. - Telemetry redaction and exception handling. - GitHub release approval and artifact identity. Source reviews include documented versions, provenance, exclusions and reliance boundaries. They are not independent deployment tests or current security certifications. 696 additional reviewed records are publicly available through exact-ID HTTP catalogue links and the separate read-only https://varexis.tech/mcp/catalogue connector. They remain outside the original MCP search and preview population and paid saved retrieval. Enhanced natural-language search for these additions remains on HOLD. Public catalogue: https://varexis.tech/varexis-index.json **SAVED EVIDENCE & SUBSCRIPTIONS** - Single Request: £5 — Save a version-bound published evidence result or obtain the eligible original Agent Tool Evaluation & Integration Kit. - Evidence Receipt: £19 — Add an unsigned delivery receipt to the eligible saved result. - Research: £29/month. - Developer/API: £149/month. Prices exclude applicable VAT. Subscription eligibility, rate limits and exclusions apply. The four separately licensed verification executables are not included in these existing evidence or subscription offers. **AGENT PURCHASING & RECOVERY** VAREXIS supports hosted Stripe checkout and compatible authorised MPP/Stripe Shared Payment Token purchasing through separate payment interfaces. Agent purchases require owner spending authority for the exact VAT-inclusive quote and any necessary provider authentication. Not every agent or wallet is supported. Public MCP remains free and read-only. Payment credentials and private customer data must not be submitted to the public connector. Existing purchases should be retrieved using the original credential. Uncertain payments must be investigated and recovered through supported procedures, not automatically purchased again. Purchase or recover: https://varexis.tech/index-access Agent payment contract: https://varexis.tech/varexis-index/agent-payments.json **WHY VAREXIS?** VAREXIS combines source-linked evidence, explicit limitations, versioned deliverables and structured verification of supplied declarations. Its purpose is to help agents and developers distinguish what available evidence actually establishes from what remains uncertain, unsupported or outside authority. Free evidence discovery. Transparent product scope. Reusable local verification. Bounded reliance. Website: https://varexis.tech Developer integration: https://varexis.tech/index-connect MCP endpoint: https://varexis.tech/mcp
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.
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
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace. Discover cards, inspect product details and listing prices, find seller storefronts, and read SuperCatch documentation using natural language. FOR COLLECTORS Search marketplace listings and look up a product's price, condition, availability, and active-listing count. Open the canonical SuperCatch link to review the card or seller. Connect your SuperCatch account to read your purchase history, order status, and watchlist, including saved price-alert targets. FOR SELLERS Connect the SuperCatch account that owns your approved store to review listings, prices, quantities, and listing status; summarize inventory; and check store orders, fulfillment status, and tracking details. TRY ASKING - Find Michael Jordan cards on SuperCatch. - Look up the price, condition, and availability of this SuperCatch product. - Find this seller's SuperCatch storefront. - Show my recent purchases and order statuses. - Which cards are on my watchlist? - Summarize my store inventory and recent orders. - Find SuperCatch documentation about managing listings. CONNECT Add https://supercatch.com/api/mcp to a compatible MCP client using Streamable HTTP. Setup guidance: https://supercatch.com/ai ACCESS AND PERMISSIONS Public marketplace, product, storefront, and documentation tools do not require a SuperCatch account. Private buyer and seller tools require SuperCatch sign-in and OAuth consent. Account documentation requires separate docs:read consent; staff documentation also checks your current role. Review or revoke access in SuperCatch Account Settings > Connected Apps. PRICING REVIEW SuperCatch's RAW-card pricing workflow prepares proposed above-market increases using your existing Premium strategy and pricing limits. You review the exact proposals and skipped listings at https://supercatch.com/store/pricing/raw-cards and explicitly confirm Apply in SuperCatch. Reviews cover up to 50 cards per batch and expire after 10 minutes; changed proposals require a fresh review. The assistant cannot apply price changes directly. Availability: the pricing workflow is built in the application code; the live MCP endpoint currently exposes marketplace, documentation, and account/store reads. Pricing previews become available through the connector when the updated tool is deployed. Listing prices and availability can change; review the linked SuperCatch page before buying.
Search and read bounded published Altss profile summaries with canonical citations. No private data.
Free, read-only access to Alicia's published English and Chinese notes on Houdini, Three.js, OpenUSD and AI-assisted 3D workflows. Search articles, read full Markdown, browse topics and recent notes. Results include canonical source URLs and author attribution. No account or API key; Streamable HTTP with four read-only tools. Digital Garden is the interactive 3D flower artwork at digitalgarden.si. Setup: https://digitalgarden.si/agents/?utm_source=glama&utm_medium=referral&utm_campaign=listing
Turn a public share link into its files or a social canonical link, with direct URLs and hand-off.
# **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.
Free, public, read-only private aviation data for AI assistants. Search and compare business jets, look up airports and cities, estimate route distance, flight time and charter cost ranges, and find published aviation articles with canonical source links. Prices are reference estimates, not live quotes or operational flight planning clearance. No API key required for public access.
GrowVib is an AI-native SMM and social media growth marketplace for autonomous agents. Search and compare services across Instagram, TikTok, YouTube, Telegram, X, Facebook, Twitch, Spotify and 50+ other platforms. Buy followers, views, likes, subscribers, members, reactions and engagement. GrowVib provides canonical service classification, recommendations with reasons and quantitative trade-offs, live quotes, and accountless USDC purchases via x402 on Base and Solana.
Lint hreflang: codes, x-default, self-reference, canonical, return links. Never fetches URLs.
AI-SEO / AEO / GEO audit MCP for any public URL. Scores schema.org coverage, robots.txt and llms.txt health, canonical and OpenGraph setup, and AI-citation likelihood.
Pre-install canonical-identity verification for MCP servers and skills, with signed verdicts.
Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.
Read-only Asian hotel search and guides with canonical sources and non-live rates.
Reads and validates any European e-invoice a business receives — XRechnung, UBL, CII, ZUGFeRD/Factur-X PDF, Peppol BIS 3, FatturaPA, KSeF FA(3) — into canonical EN 16931 JSON with plain-language fix hints in EN/DE/PL/IT/FR, plus PDF, CSV and DATEV export. Nothing is stored; works without a key on a small daily quota.
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
Read-only MCP connector for The Dose Guy source-linked peptide and compound database. Search 260+ compounds, compare vendors and prices, inspect ranking evidence, and retrieve canonical page links. No authentication required.
PHION 1.52 is an agent-native capability resolver and verified execution network. Use phion_resolve to map intent to eligible services, or inspect 122 canonical services through the full catalog. Free discovery, preflight and verification; paid x402 execution requires separate authorization.
Discover Puerto Rico places and events, with canonical links and clearly disclosed sponsorship.
Q&A forum for AI agents, by AI agents: search answers, ask, vote, pin canonical fixes.
Search Aguasto's published research descriptions and canonical references.
Read-only search and retrieval of Growth Choice’s published marketing guides and case studies, with canonical source URLs. Provides search_docs, list_docs and get_doc; no authentication required for these tools.
Search verified podcast moments and episode summaries with canonical Egleze links.
Checks whether a public page links to an expected URL; reports anchor, rel and canonical.
Deterministic JSON hashing and EIP-712 attestations for AI agents via x402.
Read-only ARAM Mayhem champion builds, tiers, augments, curated combos and patch notes from https://arammayhem.com/, with canonical page citations and data dates. Independent fan project, not affiliated with Riot Games.
Find Salsa and Bachata events and destination guides worldwide. Four public, read-only tools resolve locations, search upcoming events, retrieve event details and get existing guide summaries. Includes a rolling year of scheduled dates, published translations and canonical Salsa Vida links. No authentication required. Recurring dates reflect recorded schedules, not organizer confirmation. Documentation: https://www.salsavida.com/developers/mcp/
Open Graph, JSON-LD, canonical, robots, headings and page metadata extractor via direct x402 MCP.
ARAM Mayhem builds, tiers, augments, combos and patch notes with canonical page citations.
