"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.
Hosted MCP for Google Ads, Search Console, GA4, Merchant Center, Tag Manager: approve every change.
Manage contacts, organizations and their recorded relationships in your workspace. Setup: In a remote MCP client that supports Streamable HTTP and OAuth, add https://platform.samuelz.com/api/v1/mcp/operator?toolset=crm. Sign in to Samuelz and select your authorized workspace. An active workspace membership and the relevant module permissions are required. Review the requested permissions before authorizing. Existing approval requirements continue to apply.
Deploy apps from Claude Code or Cursor: hosting, Postgres, email, files. Vercel+Supabase in one.
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.
Manage hiring in Yardstick's ATS: jobs, candidates, applications, interviews, and scorecards.
Analyze DMARC reports and SPF/DKIM issues with Suped. - Review monitored domains and email authentication issues. - Download original DMARC report XML. - Add domains for monitoring. - Create client organizations as an MSP administrator. Your Suped permissions apply. Adding a domain does not change DNS; issues are read-only.
# **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.
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.
Certification exam practice as a town-building game: AWS, Security+, PMP, CFA, Claude and more.
Costory is the FinOps agent your team builds on. Claude plus a single provider's MCP works for one person and one cloud. It breaks when you add more providers, more people, and more tools to maintain. - Multiple providers: AWS, GCP, Azure, LLM APIs and data clouds normalized and allocated to teams and features in one model, including allocation from telemetry (Kubernetes, Datadog, dbt). - Multiple users: one hosted setup with OAuth, per-user access and enterprise SSO, instead of local credentials and prompts per person. - Maintained for you: tools, skills and connectors kept up to date by Costory, so reorgs and new services don't break your agent. Your agent finds savings, explains every change in spend and issues recommendations that your coding agent can implement. It works in Claude, Cursor and any MCP client, plus Slack. Customers include Alan, Deezer, Delivery Hero, Voodoo and Pennylane. Pricing: Starter from $300/month, flat: unlimited users and data sources, and a fair use that 80% of customers never outgrow. Nothing is ever cut off, and agents connected through the MCP use no AI credits. 30-day free trial.
Hosted Pinterest Ads MCP server, with each action switched on or off per account.
Hosted X Ads MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
Secure MCP Server for WordPress connects AI assistants and agents to WordPress with secure, controlled access. It lets AI interact with WordPress through MCP while helping organizations manage access, enforce policies, protect non-human identities (NHI), and require human approval for sensitive actions. Use it to securely connect tools such as ChatGPT, Claude, and Cursor with WordPress. Marketplace Link: https://wordpress.org/plugins/miniorange-secure-mcp-server/ Official website: https://plugins.miniorange.com/mcp-server-ai-policy-enforcement-wordpress ChatGpt Marketplace: https://chatgpt.com/plugins/plugin_asdk_app_6a312802286c8191bad0a7278a4e53ef Claude Marketplace: https://claude.ai/directory/miniorange-mcp-for-wordpress Cursor Marketplace: https://cursor.com/marketplace/miniorange
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.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
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.
Upfixe is the autonomous PPC engine built for AI agents. With Upfixe's Model Context Protocol (MCP) server, your AI assistant can research keywords, draft responsive search ads, structure ad groups, publish campaigns, and pull cross-network analytics across both Google Ads and Microsoft Advertising (Bing Ads). Features enterprise-grade token encryption (AES-256-GCM) and strict safety guardrails (auto-paused deployments, daily budget caps, O&O syndication filters).
Manage Google, Meta, LinkedIn, Microsoft, TikTok, Snapchat and Reddit ads in AI chat, with approvals
Amazon PPC data, P&L and inventory for AI assistants; changes only after your approval.
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.
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.
Hosted Google Ads MCP with OAuth, bounded reads, and prepare/confirm writes.
Hosted Meta ads MCP with OAuth, bounded reads, and prepare/confirm writes.
Run ads across 16 ad platforms from any MCP client. Hosted OAuth at mcp.synterai.com.
Ask about your own Meta (Facebook and Instagram) ad account right in Claude, ChatGPT or Cursor. Run1Ads checks your ads, Pixel and store every hour and tells you the one fix that matters today, ranked by buyers lost, with exact steps. It advises only and never changes your ads. Free for a limited time.
Your unified inbox — everything that reaches you, understood and actionable from your AI assistant.
Run Google Ads, Meta Ads, LinkedIn Ads and ChatGPT Ads from Claude or ChatGPT. You approve every change.
