"PlayStation 3" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
# **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.
128 REST operations. 120 MCP routes; 119 JSON/text ops. OAuth 2.1. Not affiliated with X Corp.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
Set up and run an in-product AI assistant: widgets, knowledge, MCP connections, usage.
Remote MCP server for Atako, an AI agent platform. 30 tools to list, create, message, and manage your Atako agents, their files and integrations, plus 3 public tools (pricing, use cases, integrations) with no auth required. Streamable HTTP, Bearer token (aik_...) auth for the authenticated endpoint.
- LatheOAuthlive.lathe
Lathe runs your whole app on one dedicated EU machine: managed Postgres 17, Redis 8, CouchDB 3 and NATS 2 with backups, TLS, monitoring and updates handled for you. One flat monthly price, no metering. Deploy from a GitHub push; connect through the hosted MCP server with OAuth 2.1.
Shared reasoning across agents. / Wspólne rozumowanie agentów.
EU import duty and VAT calculator (plus UK, CH, US, CA, AU, JP) with the rules in force since 1 July 2026: 3 € per item up to 150 €, tariff rate above, destination VAT. Real shop locations and published shipping rates. Official sources only (Reg. EU 2026/382, TARIC). Every answer links back to the comparison on crossave.com.
Build, install, drive, and inspect iOS apps in disposable hosted Simulators with 28 tools for UI automation, logs, screenshots, and recordings.
- VirloOAuthai.virlo.dev
Virlo — Short-form video analytics and trend intelligence API. 20 MCP tools and 3 workflow prompts covering keyword search (Orbit), creator analysis (Satellite), niche monitoring (Comet), hashtag analytics, trending videos, and long-term tracking across TikTok, YouTube Shorts, and Instagram Reels. Async operations auto-poll for results. Bearer token auth (virlo_tkn_*). Docs: https://dev.virlo.ai/docs/mcp
日本法リサーチMCP。e-Gov全法令の検索・条文取得、委任先解決、裁判例検索、国会会議録、改正沿革、官公庁一次資料（PDF/HTML）の本文読取・読み起こし全文までこれ1本で
Connect AI agents to BoomTax for IRS information return filing. Query filings (1099, W-2, 1095, etc.), check e-file status and errors, look up payers, and get filing summaries across tax years. **Tools:** - Search and filter filings by tax year, form type, and status - Get filing details with payer info and e-file status - View e-file errors with IRS error codes and messages - Look up payers/issuers with filing counts - List all supported filing types and e-file availability
Remote MCP server implementing the Streamable HTTP transport with 25 tools for AI assistants. Enables programmatic management of multi-platform content publishing — create posts, run automations, manage RSS feeds, generate hashtags, search images, and publish to 13+ platforms (Instagram, LinkedIn, X, WordPress, etc.). Authenticated via Bearer token.
magic-8-ball MCP — wraps StupidAPIs (requires X-API-Key)
Connect your AI agent to 20,000+ executives (CEO, CFO, COO) of all major companies, 1M+ verified quotes, and full interview transcripts. S&P 500, NASDAQ, AI startups, Federal Reserve officials. 4 MCP tools, pay only for what you use. $5/1,000 results, no minimum, no commitment, cancel anytime. You only pay for returned valid results. You must create an API key at https://mcp.ceointerviews.ai and then authenticate here using header Authorization: Bearer <token> For access to our full data API please access https://ceointerviews.ai
AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.
Guild Wars 2 keyless public endpoints (worlds, items, achievements, build, commerce).
Same link preview data as link-preview-api, ~1/3 the price via a shared cache.
