"Canonical" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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.
Read-only Asian hotel search and guides with canonical sources and non-live rates.
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.
Pre-install canonical-identity verification for MCP servers and skills, with signed verdicts.
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.
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.
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
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.
# **RChilli MCP Hub** RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats. <br> --- <br> # **Tools — 17 Total** userkey and subuserid are injected automatically from your Bearer token — you never need to pass them manually. <br> --- <br> # **🔍 Resume & Job Description Parsing — 3 tools** <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. When used on a careers page or application form, the same extraction call auto-fills every application field in under 10 seconds — documented to increase candidate conversion by up to 194%. Supports 40+ languages with English-normalized output for global intake, and runs in batch mode to process legacy databases or migration backlogs overnight at scale. Also supports resume reprocessing — re-running previously extracted resumes through the latest extraction logic and taxonomy version to bring older records up to current data quality, without requiring a new document from the candidate. Distinct from bulk import (first-time extraction of a new batch) and from talent data refresh (re-enrichment from a newer submitted resume). <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 the Resume Data Extraction tool. Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments. Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool for URL-based intake sources. <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 for recruitment automation and candidate matching. <br> --- <br> # **🧠 Skills & Job Taxonomy — 4 tools** <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, all aliases, related skills, proficiency levels, and O*NET/ESCO mappings. Use when you need the complete record rather than a ranked search. <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> > ### **`autocomplete_skill`** > > Accepts a partial skill string (min 2 chars) and returns up to 10 ranked autocomplete suggestions with canonical names and categories. Prevents free-text entry errors and keeps skill data clean at point of entry. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title string and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to taxonomy profiles from the moment a recruiter starts typing. <br> --- <br> # **🛡️ Redaction, Documents & Utilities — 7 tools** <br> > ### **`redact_resume`** > > Redacts personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. Configurable redaction scope. Idempotent. <br> > ### **`reformat_resume_with_template`** > > RChilli's Resume Reformatting tool accepts any structured candidate profile and applies one of six branded templates (TM001–TM006) to produce a consistently formatted output document in PDF, DOCX, RTF, or HTML — ensuring every candidate is presented in a standardized, professional layout regardless of how their original resume was structured. Designed for staffing firms, recruitment agencies, and enterprise HR teams who need to control candidate presentation at scale, it eliminates manual reformatting effort and enforces brand consistency across all submissions. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Preserves formatting fidelity. Useful as a pre-processing step before data extraction on non-standard file types. <br> > ### **`tag_entities`** > > RChilli's Named Entity Recognition tool takes already-extracted HR text and annotates it by wrapping each recognized entity in a structured XML-style label inline — returning output such as `<job_title>Senior Data Engineer</job_title>`, `<skill>Python</skill>`, `<city>Austin</city>`, `<degree>Bachelor of Science</degree>`, and `<organization>Google</organization>` — covering 10+ HR-specific entity types including person name, state, country, date, and year. Unlike data extraction tools that produce separate field lists, tag_entities preserves the full original text structure with entities labeled in place, making the output immediately consumable by ATS field-mapping pipelines, candidate profile builders, and content annotation workflows without any offset calculation or post-processing. <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. Safe for GDPR/CCPA workflows. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Enables radius-based candidate and job search and supports workforce planning analytics. <br> > ### **`classify_job_zone`** > > RChilli's Job Zone Classification tool reads the job profile from a resume or job description and returns its O/*NET Job Zone — one of five standardized levels ranging from Zone 1 (little or no preparation required) through Zone 2 (some preparation), Zone 3 (medium preparation), Zone 4 (considerable preparation), to Zone 5 (extensive preparation required) — based on the education, experience, and training criteria defined by O/*NET. The returned Job Zone level enables downstream workflows such as candidate-to-role fit filtering, compensation benchmarking, over/under-qualification flagging, and job architecture standardization without any manual O/*NET lookup. <br> --- <br> # **🎯 Search & Matching — 3 tools** <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one Job Description (no index required) and returns an overall match score, dimension scores, skill gap list, and natural-language explanation. Bias-controlled and audit-ready. <br> > ### **`find_matches_in_index`** > > Accepts a resume or Job Description as input and returns the top-N most similar documents from the indexed corpus ranked by semantic similarity. No index setup required for the input document. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant's pre-populated index. Supports Boolean and semantic search modes. Requires documents to be indexed before use.
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.
x402 Gateway MCP (canonical host): discover the SML x402 payment contract + gateway status. Free.
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.
