"PageSpeed Insights" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
NeuralVerge is the data layer for agentic AI. Ask a question in plain language and get a structured, cited answer drawn from 300+ sources — e-commerce marketplaces, corporate registries, company intelligence, enrichment and social — plus the open web. Connect over MCP or REST. What's inside: • E-commerce & marketplaces — 128 sources: Amazon, eBay, Walmart, AliExpress, Alibaba, Shopify, Target, Zalando, Rakuten, Flipkart and more • Corporate registries — 95: UK, France, Spain, the Netherlands, Sweden, Norway, Poland, Brazil, Canada, Australia and more • Startup & funding data — 93: Dealroom, PitchBook, Tracxn, Owler, Product Hunt, Y Combinator, Wellfound, Kickstarter, Indiegogo, Seedrs and more • Company intelligence — 16: Crunchbase, Gartner Peer Insights, Capterra, Trustpilot • B2B data — 7: Company and people search, Company and people profiles, Company employees • Enrichment: Email lookup, Phone lookup, LinkedIn Finder, Email finder Teams use NeuralVerge for agentic products, go-to-market, outbound, market research, competitor analysis, brand monitoring, public procurement, e-commerce intelligence, due diligence, KYC/KYB and recruiting. Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. → neuralverge.ai
Creative performance, tag-level insights, attribution data, and competitor ad analysis from Segwise. Connect with your Segwise account using OAuth.
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.
Trending topics, trajectories, audience insights and recommendations from TrendsAGI. Read-only.
Measure a page with PageSpeed Insights and compare it with its copy sped up by WebSpeed Fast.
AI-moderated voice interviews with your customers, delivering themes and insights
Japanese YouTube creator insights: discover upcoming streams and recently observed live broadcasts, find VTubers by debut year and game activity, compare game demand and creator supply by channel size, and explore singing-cover opportunities. Results include observation times, coverage limits, and missing-data notes
Lusha MCP server for authorized business profile, usage, and buying-signal insights.
Liliphant turns every meeting into connected knowledge, decisions, and actionable insights.
Explore your user test data, summarize feedback, and uncover actionable insights faster. Ask questions about tests, participants, tasks, and findings in plain language.
Read-only: transactions, budgets, forecasts and insights from the PocketSmith personal finance tool.
ChatGPT visibility, SERP, Maps, reviews, traffic, backlinks, tech stack, PDF tables, Amazon, jobs, Trends.
Japanese YouTube research: stream schedules, live broadcasts, VTuber debuts, game and cover trends
Work with transactions, budgets, forecasts and insights from the PocketSmith personal finance tool.
Check any Shopify store's PageSpeed and Core Web Vitals, find the apps and scripts slowing it down, compare Shopify plan fees, and get a headless estimate.
Google Search Console, GA4 and PageSpeed MCP server for Claude, ChatGPT and Cursor. Free, hosted.
Social media analytics, post insights, and competitor benchmarking for AI agents.
# **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.
Connect AI assistants to GBPly for Google Business Profile management: read profiles, reviews and insights, draft replies, and request changes. OAuth sign-in and a GBPly account are required.
Lets your assistant search and read your ThinkerNotes: the insights you've written in your own words, your drafts, and your notes on books and podcasts. Ask "what have I already figured out about pricing?" and get back your own conclusions instead of a generic answer. Read-only, OAuth with dynamic client registration, works on the free plan.
Connect GlamAI.ai with Blog2Social to create, manage, schedule and publish AI-generated content across 25+ social media, blogging and community platforms. Publish text, links, images and videos, manage connected accounts, automate multi-network distribution and retrieve publishing results and social media insights through one secure MCP integration.
Hosted PageSpeed Insights MCP server, with each action switched on or off per account.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Influence's hosted MCP server lets compatible AI assistants prepare social media posts, plan campaigns and read saved results from your Influence account. Use your saved brand voice and audience to guide drafts. Tailor posts for each channel, choose media and set posting times in your time zone. Review and approve the final content and schedule in Influence before delivery. Review image posts in Influence before publishing. Track delivery status and use Insights to review saved account posts and performance. The content calendar shows upcoming posts. Connect X (Twitter), LinkedIn profiles and Pages, Instagram, Facebook Pages, Threads, YouTube, TikTok, Pinterest, Bluesky, Mastodon, Discord, Slack, Telegram, Twitch, Nostr, Tumblr, Pixelfed and WhatsApp Business. Influence also connects WordPress, DEV, Hashnode and listmonk. MCP endpoint: https://influence.so/api/mcp Sign in with your own Influence account through OAuth or a scoped bearer key. Setup: https://github.com/influence-so/influence-mcp#connection Influence is a paid subscription with a seven-day trial. A payment card is required for the trial. Paid plans include unlimited connected accounts for one business. Worked publishing example, with review steps and screenshots: https://influence.so/publish-from-chatgpt
Search, organize, and chat with your saved Reddit posts. Semantic search, labels, notes, reading recommendations, and library insights for your AI assistant.
Google Ads, Meta Ads, GA4, Search Console and Shopify insights, alerts, ROAS rules and ad actions.
Mailchimp engagement intelligence for AI agents: campaign analytics, audience insights, and automated BigQuery data pipelines.
Search, summarize and save insights on your ParrotNotes in-person meeting notes.
Twitter/X, Instagram, Reddit & TikTok data for AI agents. Billions of posts. No API keys.
Connect AI assistants to Mailercloud, the email marketing platform. Tools to manage campaigns, contacts, lists, templates, automations, webhooks, senders, and transactional email — plus AI-powered campaign analysis, deliverability audits, and engagement insights.
