"AWS Organizations" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Send messages and automate conversations over SMS, MMS, WhatsApp, Viber, IVR, and USSD in 150+ countries. Manage contacts, campaigns, and automated services, analyze message history, and look up channel options and pricing. Organizations can require human approval before sending messages.
Zero-auth Notary & AST: RM(1,3), RFC 6962, W3C VC 2.0, ROS 2 Humanoid & 3-Level Consciousness.
NFC Tap Builder by Tap.Giving is a tool first: it helps agents and users create print-ready NFC artwork proofs with correct vector art, free to take to any vendor, with no lock-in. The hosted server serves organizations of every kind, including churches, nonprofits, restaurants, coffee shops, and local businesses, with keyless discovery, product facts, artwork spec, and order questions, and the free Redirect Dashboard at https://tap.giving, which retargets any disc in seconds. Discs are NTAG213, 100 mm round or square, matte waterproof PVC. Ordering custom discs through Tap.Giving is an optional next step: published pricing is $5.00 per disc at 100 to 199, $4.00 at 200 to 399, $3.50 at 400+, minimum 100, free shipping, 30-day money-back guarantee.
Hubstaff MCP server for ChatGPT, Claude and any AI agent: list timesheets, approve timesheet, review manual time request, add time entry, create project and create task in your own Hubstaff account. Cotlet works in the account through your Cloud Browser, a real Chrome where you sign in to Hubstaff yourself; Cotlet does not store your password and you need no Hubstaff API key. About the official Hubstaff API: Hubstaff has a full REST API, API v2, with read and write scopes, and an official MCP server that is read-only (checked 17 Oct 2026). The MCP server reads organizations, members, projects, tasks and time and activity data for owners and managers, cannot create or change anything, and is switched on per organization after an email to Hubstaff support. Setup and FAQ: https://cotlet.dev/integrations/hubstaff-api-mcp-server
Grammarly MCP server for ChatGPT, Claude and any AI agent: list documents, read suggestions, accept or dismiss suggestion, check AI text and plagiarism, get writing score, set document goals, add dictionary word and delete and restore document in your own Grammarly account. Cotlet works in the account through your Cloud Browser, a real Chrome where you sign in to Grammarly yourself; Cotlet does not store your password and you need no Grammarly API key. About the official Grammarly API: Grammarly has an official API only for organizations (checked 5 Nov 2026): Writing Score, AI Detection and Plagiarism Detection, plus Analytics and License Management, reached through Contact Sales and OAuth 2.0 credentials. None of them reads or edits your own documents, suggestions, goals or dictionary, and Grammarly has no official MCP server. Setup and FAQ: https://cotlet.dev/integrations/grammarly-api-mcp-server
Australian economic data from the ABS, RBA, and APRA: CPI, GDP, cash rate, labour, and more.
Arsen is a human risk management platform that enables security teams to assess employee exposure through advanced phishing, voice phishing, and deepfake simulations, and strengthen their resilience with adaptive cybersecurity awareness training. Arsen MCP connects your Arsen platform to your preferred AI assistant, including Claude, ChatGPT, and any MCP-compatible assistant. With Arsen MCP, you can: 1. Build and launch campaigns. Let your AI assistant prepare phishing simulation campaigns and cybersecurity awareness programs, then launch them with your approval. 2. Get actionable insights from your data. Ask questions in plain language and get answers based on your organization's actual data, including campaign results, click, compromise and reporting rates, phishing score trends, coverage, and teams that need attention. 3. Manage multiple client organizations. Give MSSPs the ability to query and work across every client organization they manage, from a single AI assistant. Secure by design. Users authenticate with their Arsen account (SSO and MFA supported), and every request is governed by their existing Arsen permissions.
Manage Google, Meta, TikTok, Snapchat and LinkedIn ads, plus GA4, Tag Manager and Search Console, by chat from Claude or ChatGPT. Spend increases need your confirmation first.
Search competitor Meta ads, find winning and longest-running ads, and adapt one for your brand.
German-language demo server that explains MCP to non-technical readers. Search and read the pages of was-ist-mcp.ch from Claude, ChatGPT or Cursor. 8 of 10 tools work without login; the demo login for the other two is public on the setup page.
Veqen brings together work and coding agent costs per person and team, product inference costs per customer, agent spending, protection incidents, invoice checks, chargeback and the month-end close. Ask your assistant to investigate recorded spending, compare model prices, review provider keys and incidents, record bills and credits, or manage budgets, alerts, teams and spending policies. Your account role and plan govern access. Provider-key shut-off and agent-card controls require the appropriate role and provider permissions. Destructive actions require confirmation, and organizations can require a second person to approve a shut-off. SDK budget blocking is not a guaranteed spending cap. Work and coding agents are free for up to 3 people; product inference is free up to $1,000 in monthly AI spend. Connect your Veqen account for private organization data. The separate public model-price server needs no account. Estimates remain separate from provider invoices. Setup and permissions: https://veqen-app.com/docs/mcp
# **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.
Plain-language MCP explainer in German: search and read was-ist-mcp.ch. Most tools need no login.
Stream Vessel connects your AI assistant to the storage accounts you already own: AWS S3, MinIO, IDrive e2 and other S3-compatible services. Your files stay in your buckets; Stream Vessel never copies them. - Find files by name at any depth, list folders, and total up a folder's size before you change it - Read text files inline, or get short-lived download links for anything larger - Upload, including files over 5 GB through multipart uploads - Copy, move and delete single files or whole folde
Hosted OpenAI Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted Pinterest Ads MCP server, with each action switched on or off per account.
Veqen brings together work and coding agent costs per person and team, product inference costs per customer, agent spending, protection incidents, invoice checks, chargeback and the month-end close. Ask your assistant to investigate recorded spending, compare model prices, review provider keys and incidents, record bills and credits, or manage budgets, alerts, teams and spending policies. Your account role and plan govern access. Provider-key shut-off and agent-card controls require the appropriate role and provider permissions. Destructive actions require confirmation, and organizations can require a second person to approve a shut-off. SDK budget blocking is not a guaranteed spending cap. Work and coding agents are free for up to 3 people; product inference is free up to $1,000 in monthly AI spend. Connect your Veqen account for private organization data. The separate public model-price server needs no account. Estimates remain separate from provider invoices. Setup and permissions: https://veqen-app.com/docs/mcp
Hosted X Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted Snapchat Ads MCP server, with each action switched on or off per account.
Hosted LinkedIn Ads MCP server, with each action switched on or off per account.
Hosted Microsoft Ads MCP server, with each action switched on or off per account.
Hosted TikTok Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted Meta Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Hosted Ads Libraries MCP server, with each action switched on or off per account.
Irish Tax Hub helps users estimate Irish taxes, inspect current tax rates and deadlines, search Revenue guidance, and research Ireland's double-taxation treaties through read-only tools. Check out https://www.irishtaxhub.ie
Manage Apple Search Ads from chat: sign in with Apple ID, check notifications, and pull campaign pe…
Meta Ad Library and Google Ads Transparency video ads, plus AI teardowns and shot-by-shot analysis.
Hosted Google Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Read-only MCP server for the catalog of licensed Kazakhstan microfinance organizations (MFOs) from alexcredit.kz: microloan terms for new and repeat clients, effective annual rate, legal data with ARDFM license and register link, borrower ratings and reviews. Remote Streamable HTTP endpoint, no authentication, 7 tools.
Explore New York’s legal cannabis market using data from FindWeedNY.com Search licensed adult-use and medical dispensaries, look up dispensary details, and verify OCM licenses across retailers, microbusinesses, cultivators, processors, distributors, and registered organizations. Search New York cannabis brands, see which licensed dispensaries currently stock them, explore parent and child brand relationships, and preview current deals by dispensary or city.
Manage Google, Meta, LinkedIn, Microsoft, TikTok, Snapchat and Reddit ads in AI chat, with approvals
Read-only Google Ads for Claude: finds search terms that spend without converting.
ClearPolicy is a document signing and compliance tracking tool for organizations. Once connected, your AI assistant can import documents, send signature requests, track who has and hasn't signed, and manage your contacts — all by prompt.
Build, deploy, and run apps on AWS, GCP, Azure, Oracle Cloud, and your own hardware from chat.
AWS pricing and cost estimates with no signup, plus read-only idle-resource scans of your account.
AI second brain for people who coordinate several projects. Search and write to your daily notes, tasks and boards, calendar, meeting recaps, documents, clips and an Atlas of people, organizations and projects from Claude, ChatGPT or any MCP client. Free plan, OAuth sign-in.
Clerk is an authentication and user management platform. Its MCP server lets coding agents set up and manage Clerk without leaving the editor. Agents can pull SDK snippets, quickstarts, and Clerk’s agent skills. They can also create apps, update instance settings, and manage users and organizations. To go live, they can create a production instance and check its domain. Sign in with any Clerk account, including a free one. Secret keys are never returned in plain text.
Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.
Get US weather forecasts, active and recent alerts, and current observations.
Hosted Google Ads MCP with OAuth, bounded reads, and prepare/confirm writes.
