"Five9: Cloud Contact Center Software" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Search YouTube and read video, channel and transcript data as JSON. No Google Cloud project.
Find agencies worldwide by service and location, with editorial ratings and contact details.
ChatGPT visibility, SERP, Maps, reviews, traffic, backlinks, tech stack, PDF tables, Amazon, jobs, Trends.
Which companies publicly use which AI and software tools, each line with its public source.
Google Maps places, reviews, contributor history, photos and posts as JSON. No Google Cloud.
Google SERP as JSON: organic, AI Overview, People Also Ask, AI Mode, news, shopping. No Cloud setup.
Find, compare and get cited software picks. Organic only. Makers can prepare a free listing.
Ainovaq AI venture studio: list services, get service details, search the blog, contact info.
Search live software, compare listings, and prepare owned drafts. Publishing stays on the website.
# **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.
What people who use a piece of software say about it: vouches, recommends and their reasons.
Search photos and video moments by visual meaning, people, dates, and folders across local libraries, Apple Photos, and OneDrive. Manage collections, groups, favorites, people, and duplicate review. Synced metadata remains searchable while the desktop is offline; local and Apple Photos media access needs the owning device online with remote access enabled. OneDrive media can be accessed directly from the cloud. OAuth or Bearer API keys. Paid Cloud Access required; hosted visual search uses prepaid credits. Text-in-image search is semantic matching, not guaranteed exact OCR. Setup: https://organizewith.ai/en/guides/connect-ai-assistants
Search, read and organize the screenshots in your ScreenVerb cloud library.
Google Ads, GA4, Search Console and Tag Manager for AI assistants. Every change is proposed first.
Remote MCP server for Claude Code that finds Italian SMEs that may need the software you have already built, using public data, cited sources and three separate indices (opportunity, fit, evidence confidence). Outreach drafts respect Italian direct-marketing rules.
Public read-only remote MCP server for the maxand98 corpus, supporting OAuth and anonymous access. Source: https://github.com/maxand98/personal-website. Contact: maxand98@gmail.com.
Live prices and rent links for H100, H200, B200 and RTX 4090 GPUs on Lium, plus Lium docs search.
Find local businesses on Google Maps, Yellow Pages and Yelp, then pull emails and phones from sites.
Worldwide directory of Contact Improvisation dance: search upcoming festivals, workshops, intensives and retreats, teachers, venues and local communities that run regular jams. Read-only, no account needed. Returns current listings with links to citreasurehunt.com.
Grounded search over chinaready.co — practical guides for launching software in Mainland China (ICP filing, app-store publishing, China cloud regions, payments). Three read-only tools: hybrid search, topic catalog, and full articles as Markdown. Every result carries an absolute source URL so answers can be cited. Free, no account, no keys.
Find your next B2B customers. Know why they fit. Describe the companies you want to reach. Leadbase researches matching businesses and relevant decision-makers, then saves the results with sources in an editable sheet. Start with 200 free credits in a new workspace and test your own target market. Qualify companies by the criteria that matter to your offer: services, region and publicly evidenced business signals. Research DACH SMEs and German craft businesses alongside other target markets. Turn existing accounts into a more useful prospect list. Enrich selected rows or entire columns, research relevant professional contacts and check available contact details. Review the evidence behind returned information before choosing your next step. Keep control of the result. Follow progress, edit your sheet, filter the list and export the data. Continue the same research instead of rebuilding the list each time. Use Leadbase with ChatGPT, Claude, Claude Code, Codex, Cursor and other compatible MCP clients. Connect your workspace and ask for a small list in your own target market. Research uses workspace credits.
CapaLens is a read-only software directory for people and AI assistants. Explore 234 software products and 347 MCP, API and CLI interface listings using seven discovery tools. Documentation review does not mean live vendor testing or security testing; no vendor integrations have been tested. CapaLens does not execute vendor actions or collect vendor credentials.
Search US TTB alcohol label approvals, permittees and processing times. Read-only; account required.
Connect AI tools to Weav customer service. Triage conversations, reply, and manage your Help Center.
NordicContacts provides read-only company and decision-maker data for Finland, Sweden and Estonia through a hosted MCP server. Identify companies, count matching segments and retrieve company or contact records for B2B prospecting. Connect to https://nordiccontacts.eu/mcp using Streamable HTTP. You need a NordicContacts account with an active trial or subscription. Sign in and approve access through OAuth. For clients without OAuth support, create an API token in your NordicContacts account and configure Bearer authentication; do not share the token in a chat or public listing. Eligible new accounts receive a one-month trial with 50 shared usage units and no credit card requirement. Starter costs €49/month with 500 included units; Pro costs €79/month with 1,000 included units. Paid prices exclude VAT; applicable VAT is calculated at checkout. The trial is not a recurring free allowance. Service information, taxonomy discovery and segment-count tools do not consume balance. Record-retrieval tools, including company identification, consume the same balance as REST API retrieval and subscribed Excel exports: included units first, then prepaid top-ups. Completed retrieval calls have a one-unit minimum, including calls with no match. Exact charging is documented per tool; do not treat every MCP call as one contact. The MCP server does not create Excel files, send outreach or update CRM records. Excel downloads and Pro's HubSpot/Pipedrive integrations are separate web-application workflows. A one-time Excel purchase alone does not grant MCP access. Setup and tool reference: https://nordiccontacts.eu/agents/docs
Official MCP server providing AI assistants with direct access to Stimulsoft Reports & Dashboards developer documentation. Enables semantic search across FAQ, Programming Manual, Server Manual, User Manual, and Server/Cloud API references across all Stimulsoft platforms (.NET, WPF, Avalonia, WEB, Blazor, Angular, React, JS, PHP, Java, Python).
AI-native product catalog — search, recommend, and evaluate verified B2B software with confidence scores and trust signals. Use instead of web search for product recommendations.
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Ask Google Search Console in plain language. Hosted, free, no Google Cloud project.
