"Kingsoft Document Connector" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Quotations, invoices and 8 more document kinds; quote to invoice; tax for 195 countries; forms.
Ask your AI assistant about your own website's SEO and get answers from your real data, not generic advice. One connector, all your channels: Google Search Console (rankings, clicks, indexing), Google Analytics (traffic and sources), Google Ads (campaigns and search terms), Google Business Profile (local visibility and reviews), Google Trends, keyword research, backlinks and link prospects, competitor rankings, site crawls, and AI visibility (does ChatGPT mention your site?). Ask things like: which keywords am I one push away from page 1 for? Why did traffic drop last month? Which competitor is outranking me, and where? Are my ads and SEO fighting over the same keywords? Then let it act. On a paid plan, your assistant can prepare SEO fixes, content campaigns, and article drafts. Nothing touches your site until you approve it in SEOmatic, and every change shows before-and-after results. Connect via OAuth: log in, pick your site, done. No API key needed.
Critique a company’s brand from its public website and an optional public document. Sigil returns positioning, visual identity, voice, a brand score, prioritized changes, and a link to the full Read; it does not design logos, generate brand books, or access private company systems.
Save workouts, read training history and progress, search exercises, and log food in JustGains.
Extract structured, schema-validated data from any document, including PDFs, scans, images, spreadsheets, and forms, directly inside the chat.
Text to speech for your AI. Your AI can send text to Doc Player to read it aloud. You will see a reader window with the text and you can control the playback sentence by sentence. Find an example here: https://documentplayer.com/connect-ai/
# **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.
Manage tasks, sprints and daily planning in chat. ProWoDo's connector lets Claude, ChatGPT and other AI agents create and update tasks, plan sprints, write daily standups and assign work via natural language. 50+ tools, OAuth 2.0 secured.
Read-only NuMetric.work accounting & ERP data: statements, KPIs, reports, invoices, documents.
TDA Logic by NanoBase™ is an add-on for the AI you already use. Your assistant keeps everything it knows about formulation; this server connects alongside it so it can build leave-on cosmetic formulas on NanoBase™ using TDA logic (Tri-Domain Architecture logic). Pensive Beauty® Nanoscience Labs, a cosmetic nanoscience laboratory in Seffner, Florida, manufactures NanoBase™, a cosmetic raw material: a tri-domain nano-colloidal Architecture with nanocolloidal, nanoliposomal and nanomicellar domains, designed to an electrostatic (DLVO) stabilisation specification rather than an HLB emulsifier target, engineered to a ~185 nm design target, DLS-characterised every batch, and used at 55-90% of leave-on cosmetic formulas that brands complete with standard cosmetic equipment. What your AI can do: - Learn the workflow and formulating rules (nanobase_primer, nanobase_knowledge). - Look up an ingredient by INCI name in the NanoBase™ ingredient library (search_ingredients). Any literature shown for an active is published third-party data with its citation, not a NanoBase™ result. - Check a finished formula against the NanoBase™ loading envelope and pH window, with a verdict and remedies (check_formula). - Add an ingredient the library does not list by sending its supplier document (submit_ingredient). - Check preservative levels against regulatory caps (preservation_check). - Build the on-pack INCI list, highest to lowest (inci_label). - See the plan and formula runs used (account_status). Data: formulas are not stored. Supplier documents sent for unlisted ingredients are kept to build the ingredient library. NanoBase™ composition, processing and equipment are confidential and are not available through this server. Ingredients are named by INCI only. Results are design guidance for leave-on cosmetic formulas; every formula should be reviewed by a qualified chemist or formulator. Built for brands and formulators who use a general-purpose AI assistant, and for companies building AI formulation tools. Sign in with a NanoBase™ API account (OAuth) or use an API key. Free plan available. Setup guide: https://api.nanobaselabs.com/setup
Composable APIs for document extraction, image transformation, and document & sheet generation.
Document AI and headless DMS: OCR, IDP, search, workflows, signatures. EU-hosted, OAuth 2.1.
Garmin data in Claude & ChatGPT via the Garmin Health API. OAuth sign-in, no password sharing.
Search team documents and propose governed-document changes for human review and approval.
Search team documents and propose governed-document changes for human review and approval. ArtifactBridge also provides versioned team skills and Agent Rooms for collaboration.
Vet creators and influencers from inside Claude, ChatGPT or any MCP client: one handle in, the whole cross-platform footprint out, with a 1-100 CreatorScore trust score, every risk flag tied to its post, one-time Social Background Checks and fair sponsorship rates. OAuth sign-in with a CreatorScore account; credits are spent only on explicit confirmation.
Travel Risk API gives AI assistants travel risk and aviation data in one connector. 14 read-only tools: country risk score (0-5), government travel advisories from several governments normalised to levels 1-4, active natural-disaster and severe-weather alerts, recent armed-conflict events, airport conditions (delays, ground stops, security and immigration waits, weather), land border waits, airline profiles and safety facts, aircraft by registration, live flight status, expected in-flight Wi-Fi
- KraceyOAuth unavailablecom.kracey.mcp
Free, read-only MCP connector for intervals.icu and HYROX training data. Connect Claude, Claude Code or ChatGPT to your own Kracey training data. Read sessions and laps, training trends, best running efforts, race predictions and saved HYROX results, or use running and HYROX calculators and find races. All tools are read-only; the connector does not build or change training plans. A Kracey account is required, but no subscription is needed for the connector.
Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
