"Information about Microsoft Office Word" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
formcarry handles everything after your form is submitted: it emails you, auto replies to the person who submitted, filters spam, and delivers webhooks. You write the HTML form and set its action to a URL formcarry gives you. An agent can create a form, wire the emails and webhooks, and answer questions about the submissions, like how many signups last week.
Server-side conversion tracking for Meta, TikTok, etc. Set up tracking and ask about events.
Convert, create and edit Word, PowerPoint, Excel and PDF documents from any AI agent.
Never-stored live email: read, send and triage Gmail, Outlook / Microsoft 365, or any IMAP mailbox.
Outlook.com, Microsoft 365, Google, iCloud, CalDAV: free time, events, invites, bookings, polls.
Read-only access to your own crypto portfolio across 11+ exchanges and 20+ chains: holdings, full history, FIFO cost basis and P&L, fees and income. Ask Claude or ChatGPT about your portfolio; the connector can never trade, move funds or act as a login.
Gmail, Outlook, Hotmail, Microsoft 365, iCloud, Fastmail, other IMAP mailboxes: search, read, send.
Solve production, blending, transport and scheduling problems with LP and MIP.
Set prices, protection levels and overbooking limits from demand and remaining capacity.
Monitor metric streams with control charts and alert only on statistically real drift.
Match bank receipts and payments to invoices with confidence, deductions and exceptions.
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Reeltopus is an AI video clipper you can run from Claude, ChatGPT and Cursor. Give it a long video (podcast, stream, webinar, lecture, interview) and it finds the complete moments with a hook and a payoff, ranks them best first and says why each one should work. What the AI does: - AI clip selection with titles, hooks and a reason for every pick - Accurate animated captions in 109 languages, including mixed speech like Hinglish; caption translation into 43 languages - AI Reframe to 9:16, 1:1 or 16:9: tracks the speaker, keeps wide shots and slides whole, stacks screen shares, splits two people far apart - Silence and filler-word removal, swear-word masking, edit by transcript or in plain words - AI B-roll from licensed stock footage, brand kits and templates - Whole-video mode: cut a full podcast into a captioned series - Packaging Lab: test hooks, titles and covers per platform - Thumbnail and Shorts cover generator, LinkedIn PDF carousels - Smart links that count clicks, leads and sales, and post analytics Through this MCP server (43 tools, 4 prompts) an assistant can upload or find your videos, show the clips as playable cards, edit and export them (MP4 up to 4K, SRT/VTT/ASS captions, Premiere, DaVinci Resolve and Final Cut timelines), and post or schedule to YouTube and LinkedIn after you confirm. One prompt, clip_and_schedule, takes your latest video to a scheduled post. OAuth sign-in or an API key. Free plan, no card. Docs: https://reeltopus.com/docs/api/mcp
Keep your household on the same page with ComingUp Today. Built for families and caregivers managing busy schedules, ComingUp brings calendars, lists, notes, contacts, and recipes together. Connect your AI assistant to see what’s coming up, add groceries, find household information, save recipes, and create or update ComingUp events—all through conversation. Connect securely with OAuth and choose the permissions you grant. Connected external calendars remain read-only.
Explore your user test data, summarize feedback, and uncover actionable insights faster. Ask questions about tests, participants, tasks, and findings in plain language.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Run all of WordPress from Claude, ChatGPT or Cursor: SEO, security, your WooCommerce shop and Elementor pages, on up to 10 websites in one connector. Start free. SEO: titles, descriptions and focus keywords for every page, post and product. Security & updates: core, plugin and theme updates with a live test, site health and HTTPS checks, users and roles. WooCommerce shop: products, prices, orders, coupons and customers. Elementor and many more page builders: texts, links and images. Blog posts, pages, media, comments and menus. 10 websites in one connector: all your sites in the same chat. Deploy (Agency): build a site locally and push it to your own server. Just say it: "Write SEO titles for every product." "Install all updates and check that the site still works." "Show today's orders and create a weekend coupon." You choose what your AI may change, with one switch. Install the free AlphaBridge MCP plugin from WordPress.org, connect and approve on your own site. No account, no key to copy.
Connect your Odoo to Claude and ChatGPT: ask about sales, stock, customers and invoices.
Research U.S. markets and prospects conversationally using PropertyRadar's property and people data. Resolve an address, inspect Property details, transactions, comparable sales, ownership and contact information, discover supported Criteria and fields, search for matching Properties, and save selected results as a dynamic Audience. PropertyRadar accesses only the data available to your connected account.
Levelset puts StandPoint's market research desk inside your assistant. Ask about a stock the way you would ask a person, and the answer comes back with real numbers from the desk's data instead of a guess.
ASOClimb brings App Store Optimization into your AI assistant. Connect it once with OAuth sign-in, then ask in plain language about the apps you publish on the Apple App Store and Google Play. What it can do: - Keyword research: live keyword inspections with traffic, difficulty and KEI scores, top-ranking apps and related terms, plus live store autocomplete suggestions. - Rank tracking: track keywords for your apps, see daily rank observations, movers, favorites and rank alerts. - Competitors: track competitor apps, see the keywords they rank for, and find keyword gaps where they rank and you don't. - Market research: top free, paid and grossing charts, new releases, category ranks and niche analysis from a seed keyword. - Listing copy: check any App Store or Google Play listing, simulate new titles, subtitles and keyword fields against store character limits, save drafts and compare them with the live listing. - Account: see your plan, limits and month-to-date usage. Ranks are dated observations, not store-provided data. Tools that only read data are marked read-only. Only two tools remove data: untrack_keyword and remove_competitor. Plans: Free costs $0, covers 1 app, and includes 25 keyword inspections and 500 API/MCP requests a month. Pro costs $10 a month or $100 a year, covers up to 50 apps, includes unlimited keyword inspections and 50,000 API/MCP requests a month, and is sold at asoclimb.com/pricing. Monthly allowances reset on the 1st (UTC). Built by Approtic Solutions Private Limited.
Read-only MCP server for diagnosing any WordPress site — security, performance, forms, logs, downtime — with evidence. The connector exposes no write operations and your AI never sees the site's credentials (secrets are redacted before output). Built for agencies managing many client WordPress sites. Free for 1 site.
Ask Claude or ChatGPT about your own finances. ValYou gives read-only answers on your net worth across every account and currency, what moved since last month, where you rank for your age, retirement projections, what-if scenarios, shared expenses with friends and your monthly budget. Nothing is changed and no account numbers are ever shared.
Connect Chatway, an AI-powered website live chat and customer support platform, to ChatGPT, Claude, Gemini, Cursor, and other AI assistants using MCP. Chatway helps businesses communicate with website visitors, manage customer conversations, and deliver faster support across multiple channels, including website live chat, email, WhatsApp, Instagram, and Facebook Messenger. Native mobile apps for iOS and Android let support teams manage conversations and respond to customers on the go. With Chatway's MCP server, AI agents can access and manage customer support operations. Search and read conversations, send replies, add private notes, resolve and assign chats, manage contacts, retrieve customer information, and search knowledge base articles. Chatway also includes a built-in AI Support Agent for automated customer service, a shared team inbox, support ticket management, a customizable website chat widget, a help center, team management, automated workflows, visitor tracking, and integrations with popular platforms, including WordPress and Shopify. Connect external AI agents to automate customer support, answer customer questions, access conversation history, and streamline support workflows without building custom integrations. Manage your customer support from anywhere using Chatway's web dashboard or mobile apps. The hosted MCP server supports Streamable HTTP and secure OAuth 2.1 authentication with scoped permissions. Available on all Chatway plans, including the Free plan. Conversation limits apply. Website: https://chatway.app Documentation: https://developers.chatway.app/mcp/guides.mcp_overview
LastDatabase is an OAuth-enabled MCP server providing AI assistants with access to B2B and B2C lead data. Discover business contacts, search companies and professionals, access available contact information, and verify email addresses through supported tools. Integrates with ChatGPT, Claude, and other MCP-compatible AI clients. Customer authentication, data access, and usage limits are managed through individual LastDatabase accounts.
The whole back office for your AI agent: CRM, invoices, books, email and more. Pay per action.
What people who use a piece of software say about it: vouches, recommends and their reasons.
Connects your PapaHR HR system to AI assistants. Ask about employees, time off, probation endings, hiring, surveys and eNPS, goals, pending approvals, and what turnover costs. OAuth sign-in; the AI connection is part of PapaHR Pro.
Create a beacon: a few plain words about what you have or need. Any agent can find and message it.
# **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.
