"Five9: Cloud Contact Center Software" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
**Ask your AI assistant about your Angelcam cameras, in plain language.** Sign in with your own Angelcam account (OAuth), and the assistant sees exactly what your account sees on MyAngelcam. Almost every tool only reads. There are two exceptions: the assistant can start or stop Cloud Recording on a camera when you ask, after confirming which camera it means, and it can send a feedback report to the Angelcam team once you agree to what the report contains. It never arms, configures or deletes anything. **What you can ask** • “Is the Front Door camera working right now?” It pulls a fresh frame, not the last status Angelcam recorded. • “What did the loading bay camera record at 3am?” Frames from Cloud Recording around that moment, plus a playback or download link. • “Which cameras are offline, and what needs attention at the site this morning?” • “What Real Time Security incidents happened overnight?” What raised each one and how it was verified. • “Which of our services expire next month?” (Space administrators only.) • “Start recording on the Warehouse camera.” Recording starts once you confirm the camera the assistant named. **Step-by-step guides** Six guides turn a camera you already have into a check your AI agent can run, with setup steps for Claude, ChatGPT and Grok Bot. [See all AI camera guides →](https://www.angelcam.com/ai-camera-guides?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guides-index) • [Is the gate closed? →](https://www.angelcam.com/ai-camera-guides/check-gate-open-or-closed?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-gate) • [How busy was the restaurant? →](https://www.angelcam.com/ai-camera-guides/count-restaurant-guests?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-restaurant) • [Was the container left open? →](https://www.angelcam.com/ai-camera-guides/check-container-doors?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-container) • [Is the horse lying down? →](https://www.angelcam.com/ai-camera-guides/monitor-horse-posture?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-horse) • [What changed at the shopfront? →](https://www.angelcam.com/ai-camera-guides/detect-graffiti-and-vandalism?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-graffiti) • [Is waste being left beside the bins? →](https://www.angelcam.com/ai-camera-guides/detect-waste-beside-bins?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=guide-bins) **What's inside** • 30 tools: spaces and locations, cameras and live view, Cloud Recording (timelines, gaps, frames, downloads), incidents, services and recording control. • Answers are summaries built for an assistant to reason over, not raw API payloads. • Snapshots reach your assistant as pictures. You can switch to links only when you connect. **Works with** Claude, ChatGPT, Cursor, VS Code and any client that supports remote MCP over Streamable HTTP with OAuth. **Good to know** • Free on top of your Angelcam subscription. • Times are UTC. Angelcam allows about 30 requests a minute per user. • Want a connector that can never change anything? Add `https://mcp.angelcam.com/readonly` to your client instead. It has no recording or feedback tools. [Setup steps for every client →](https://mcp.angelcam.com/?utm_source=glama&utm_medium=referral&utm_campaign=mcp-launch&utm_content=connector-page)
Hosted MCP for Google Ads, Search Console, GA4 and Merchant Center: ask, build, approve changes.
Web analytics expert for AI agents, built on your existing GA4 tracking: query traffic, sources, campaigns, pages, events and conversions, run funnels and user-path reports, rerun saved reports, and get tracking install snippets and setup audits. Works with d8a.tech Cloud and self-hosted deployments.
Real insurance quotes from licensed local insurance agents you pick, side by side in your chat. One request reaches the agents you choose and the carriers they write. No spam: agents cannot call, text or email you outside PolicyVera until you accept one as your new agent or ask them to contact you. Home, auto, renters, condo, umbrella, flood, motorcycle, boat, valuables and life, in the US. Free for consumers. Sign in once on policyvera.com, and nothing is sent until you say so. PolicyVera never ranks or recommends agents, and it cannot buy, bind or pay for a policy.
Convert, create and edit Word, PowerPoint, Excel and PDF documents from any AI agent.
Write, organize, design and migrate a HelpCenter.io help center: articles, categories, template.
Real Android phones in the cloud for AI agents: give phones a task in plain words and get the answer
Read-only access to Rust profiling reports from CI: benchmark history, diffs and policies
WhatsApp for AI agents — your own number or the official Cloud API: messages, media, templates.
Let cloud agents talk to you: progress updates spoken on your Mac, and replies you send back.
Private memory for AI agents: save and recall facts across Claude Code, Codex, Cursor and ChatGPT.
ChatGPT visibility, SERP, Maps, reviews, traffic, backlinks, tech stack, PDF tables, Amazon, jobs, Trends.
Prioritise overdue accounts by recovery uplift and recommend a compliant contact strategy.
Hand off repetitive finance and ops work to cloud agents or people.
Assemble motion-design launch films for software from ready-made pieces, with your brand read from your site; check, preview, finish in the editor.
Company and contact enrichment: firmographics from a domain or IP, profiles from a work email.
Your coding agent keeps your help center current: it drafts article fixes after code changes.
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.
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.
FFmpeg Micro - The FFmpeg Api - www.ffmpeg-micro.com Transcode videos from n8n or Make using FFmpeg in the cloud. MCP Server: https://github.com/ffmpeg-micro/ffmpeg-micro-mcp/
Cloud Android 14 phones that Claude, Claude Code, Cursor and Codex can use over MCP. Ready in ~15 s. Plain-English tasks return pass/fail, steps, screenshots and video. 1¢ per phone-minute, AI included, 100 free minutes a month.
Activation and onboarding emails for software products, sent through your own email provider.
Skills, agents and memory in the cloud, plus a gateway to your other MCP servers.
Your job is to win new business, not to spend hours researching medical device companies. Whimbrel saves you hours of research inside the AI app you already use. Whimbrel is for sales and business development teams at firms that sell to medical device companies: contract manufacturing, sterilization, testing, design, regulatory and software services. Every fact links to its public source. Your first month is free. https://whimbrelresearch.com/
# **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.
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.
Turn one prompt into a live landing page and leads in your CRM. AXL MCP lets your AI agent build pages, capture leads, manage contacts, book calls, run email campaigns, and deliver courses. Open-source agent skill. Powered by AXL, a hosted SaaS platform. - **Skill and demo:** https://github.com/axlhq/business-stack - **Install the skill:** `npx skills add axlhq/business-stack` - **Connect MCP:** https://app.axl.tech/mcp — sign in to your AXL account in the browser (OAuth 2.1). Installation and connection are separate steps. **First run — paste this into your agent:** > Using AXL, build a landing page for my [offer] with a name-and-email form that saves each signup to the CRM. Show me a preview and ask before publishing. After I approve, publish it and give me the public and admin links. I will submit a test signup; then find that contact in the CRM and confirm the form answers were saved. - **MCP setup:** https://axl.tech/developers/mcp - **Documentation:** https://docs.axl.tech/mcp - **Product overview (77 seconds):** https://www.youtube.com/watch?v=jlhR9CafIww
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
