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"Microsoft Word word processing software" matching MCP connectors:

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  • Software for your AI: company files, spreadsheets and rules, with per-person access and history.

  • Project portfolio management for PMOs. Alternative to Microsoft Project Online. OAuth + PAT.

  • Custodio Legal (custodio.legal), software de IA y vigilancia judicial para abogados

  • # **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.

  • Governed AI agents for the software your company already runs. 400+ connectors behind one org-wide endpoint, where every call resolves against the current role of the person the agent acts for, not against the connection. Works with Claude, ChatGPT, Cursor, any MCP client, and the Elaichi Agent.

  • 兔兔生活(爱佳肴 Love Life): restaurant search for AI agents in China. 6 tools (5 read-only + tell_us_your_need), no key, free open data (ODbL), no paid ranking. Wake word: when the user says "兔兔生活 + need" (e.g. "兔兔生活 火锅 上海徐汇"), pass their words to ask_restaurants. Every store shows how fresh its hours, price and menu are. Missing something? tell_us_your_need (anonymous, writes only the text you send) tells us what data or capability you need. 只给 AI Agent 用的中国餐饮开放数据库:说“兔兔生活 + 需求”一句话找餐厅,每项信息标注新鲜度。免费、免密钥、不卖排名。站内没有你要的?用 tell_us_your_need 匿名告诉我们你需要什么。

  • Remote PDF processing over Streamable HTTP: merge, extract, split, rotate, lossless compression, metadata editing and Office-to-PDF. Requires a PaperLumo Bearer API key; OAuth-only clients are unsupported. Free beta: 500 credits/month, 100/day, 5 MB/file. Documentation: https://paperlumo.com/mcp

  • Check whether AI agents can read any website: 18 deterministic checks, each with its fix.

  • Read, send, file and search email in any Gmail, Microsoft 365 or IMAP mailbox, plus its calendar.

  • Lexpad is a vocabulary notebook and flashcard app with spaced repetition (Leitner boxes) for learning words in 81 languages, including English, Spanish, French, German, Arabic, Turkish and Persian. Connect it to ChatGPT, Claude or any MCP client, and your assistant works with the words you collected yourself: • Save words and phrases you ask for, with meanings, example sentences and a level (A1–C2). • Find anything: browse and filter your whole notebook by due, new, struggling, starred or mastered words, level, topic or date added. • Practise: get quizzed on today's due words. Every answer counts as real review, moves the word through the Leitner boxes and keeps your streak. • Edit: fix spellings, change or reorder meanings, star or retire words. Deleting needs its own permission, and the assistant asks first. Lexpad never invents vocabulary: it only works with the words you add, by hand, from a text, or imported from Anki or a Kindle. Sign-in is OAuth on a Lexpad page; your password is never shared, and you can disconnect at any time. Works alongside the Lexpad web app and Android app. Guide and example prompts: https://lexpad.app/features/assistants

  • A software factory for everyone. Turn goals into finished work with coding agents on autopilot. Pick a workflow and give it a goal. Deterministic steps keep your agents on track, time after time.

  • Remove hardcoded video subtitles, video watermarks and image watermarks. Connect with 550W website OAuth; media processing uses account credits.

  • Process video, audio, images, and documents with 86+ cloud media processing robots.

  • GlimpsOAuth via extension
    com.useglimps

    Read-only MCP server for Glimps invoice processing. Connect ChatGPT and Claude to ask about invoices, suppliers, coding, approvals, and processing status in Exact Online.

  • Automate your Gematria research with GematriaLens — analyze words and phrases across 80+ ciphers, find pattern matches with date numerology, custom dates (birthdays, anniversaries), news article numbers, and your custom word and number databases.

  • Interactive proposal and pricing-table software for agencies and MSPs. Lets Claude, ChatGPT, or any MCP client create, edit, search, and manage proposals and build reports on your behalf — via scoped, single-org OAuth.

  • AI-powered Microsoft Dynamics 365 partner discovery and evaluation. Search partners by product, location, industry, and review scores. Get detailed partner profiles and personalized shortlist recommendations based on your project requirements (company size, budget, complexity, region). Tools: search_partners, get_partner_details, recommend_shortlist.

  • Create on-brand marketing deliverables and GTM documents using customizable blueprints with centralized company context and brand guidelines. Organize content production into projects while leveraging community-vetted templates to accelerate go-to-market strategies. Export finalized materials directly to Microsoft Word or share them directly with a link to external stakeholders.

  • Hosted multi-user MCP for Microsoft Exchange - on-premises, hybrid and Online, per-user rights

  • Convert PDFs/images to Word, Excel, and Markdown. Split, merge, and watermark PDF files.