"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Auto-Apply That Ends on an Interview. Job matches, per-role resumes, apply, approve, track receipts.
Generate synthetic random user data for testing, demos, and development without using real persona.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
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/
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/
YouTube transcripts in bulk: 12/12 in our test, zero failures charged; human vs auto flagged.
Queries live HackerNews discussions, front-page velocity, and developer sentiment on any framework
111 tools for AI assistants, so an answer comes from a rule instead of a guess. 84 deterministic utilities. IBAN and VAT validation, cron parsing, regex testing, hashing, JWT decoding, conversion between JSON, CSV, XML and YAML, units, number bases, timezones and date arithmetic. Eleven of them encode Dutch rules that a model tends to get wrong: AOW pension age, inheritance and gift tax, unemployment benefit duration, notice period, severance, the 30 percent ruling, holiday allowance, mileage allowance, and public and school holidays. Five more generate test data that is structurally valid and belongs to nobody: BSN, IBAN, BRP person records, UPA pension files and document numbers. 14 render tools that return a hosted file. HTML or a live URL to PDF, full page screenshots, QR codes, PDF merge and split, images to PDF, image resize, convert and compress, metadata stripping, PDF to DOCX and back. Plus read_page, which returns the readable content of a JavaScript rendered page as Markdown. 4 memory tools give an agent key-value state that survives between sessions, scoped to its own API key. 3 workflow tools list and run saved multi-step workflows on the caller's account. 6 AI tools for the jobs where a model is the right instrument rather than the wrong one: check a message for scam patterns, write a spreadsheet formula, turn a question into SQL, translate code between languages, improve a prompt, draft an email. Utilities and memory are free. Renders and AI tools have a free tier and credit packs. Workflows need an API key, because a workflow belongs to an account rather than to a key. Streamable HTTP at https://toolforte.com/api/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.
Let AI assistants shop for home and auto insurance: compare quote estimates across every carrier.
AI-native customer research and AI usability testing. Search customer feedback and full conversation transcripts; get themes, ratings, recommendations and quotes; compare projects and trends; generate charts. Plan, review and launch AI usability tests on any public URL or design and get prioritized issues with paste-ready fix prompts for coding agents. OAuth 2.0 with dynamic client registration; sign in with a TheySaid account (free plan available).
AlphaWeb: Commerce Infrastructure for Your AI Your AI has the ideas; AlphaWeb makes them real. Connect Claude or ChatGPT to unlock end-to-end commerce infrastructure: • Instant hosting (pages, funnels, stores) • Adaptive checkouts (bundles, upsells, subscriptions) • Multi-gateway payment routing • Two-way Shopify sync • Unified commerce CRM & fulfillment • Sales & lead funnels • Revenue-based A/B testing • Ad attribution & analytics • Persistent memory & automated background tasks
xmagnet — AI-powered B2B CRM for Claude. 35 tools that turn natural-language prompts into real CRM actions: prospect, enrich, score leads, manage deals, scan buying intent, run email campaigns and sequences, build forms and landing pages, refine ICP, and analyze performance — all directly inside Claude. 🚀 ONE-CLICK INSTALL: https://api.xmagnet.ai/claude The install page guides Claude users through 3 steps in under a minute: open Claude Connectors, paste the connector name, paste the server URL, sign in. A reviewer workspace is auto-provisioned on first sign-in with sample contacts, deals, campaigns, and ICP suggestions, so every tool works end-to-end with zero setup. No 2FA. No paid plan required. Free tier exposes all 35 tools. What you can do: • Prospecting — search_contacts, search_companies, search_investors, find_contacts_at_companies, enrich_contact, validate_email, find_competitors, company_intelligence • Pipeline — get_deals_pipeline, scan_deal_intent, get_ghost_pipeline, create_deal • Campaigns & sequences — create_campaign, generate_campaign_content, get_campaign_stats, get_bounce_stats, get_unsub_stats, create_sequence_draft, list_sequences • Top of funnel — suggest_icp, get_icp, create_form, list_forms, create_landing_page, list_landing_pages, show_suggestions • Operations — analyze_contacts, get_contact_details, update_contact, save_contacts_to_crm, export_contacts, get_dashboard_stats, get_credit_balance Example prompts to try: • "Find C-suite contacts at fintech companies that raised Series A in the last 6 months." • "Scan my open deals for buying intent and prioritize follow-ups." • "Generate a re-engagement campaign for contacts who opened my last newsletter but didn't reply." • "Show me my deals pipeline by stage with weighted value and win rate." • "Generate a landing page for my Q2 webinar with a registration form." Built for founders, SDRs, RevOps, and growth teams who want their CRM to take action — not just store records. Install: https://api.xmagnet.ai/claude · Site: https://xmagnet.ai · Privacy: https://xmagnet.ai/privacy-policy · Terms: https://xmagnet.ai/terms-of-service · Support: ashish.sinha@xmagnet.ai
Three public-data tools as MCP tools: building permits from 16 US city open-data portals on one schema (contractor leads, permit velocity); job postings from 9 ATS platforms (Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Personio, Rippling) with company to ATS auto-discovery; and a free company ATS detector. Runs on Apify; send your Apify API token as a Bearer token. Pay per result, no subscription. https://makenomistakesllc.com
API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server exposes that workspace to AI agents. Agents can design endpoints, write and run test suites, manage mock servers and publish documentation, always under the permissions of the connected Routebase account.
6-category AI readiness, Schema.org, robots.txt, /llms.txt & 25k-token audit + auto-fix MCP server
OSF (Open Science Framework, by the Center for Open Science) MCP. Keyless public-data API…
Find Quasar Framework(Vue) UI Components and paste their source. Free Components need no key.
Offline methodology engine for authorized penetration testing, CTF, and security research.
Contemplative reasoning with Lotus Sutra wisdom framework and ext-apps visualization.
Auto.dev MCP — wraps the Auto.dev automotive data API (auto.dev)
ABS-EE (Reg AB II) trust-level rollups — auto loan / auto lease securitization delinquency, by…
Official Duck Framework MCP server for AI-assisted development and project scaffolding.
Sourdough baking: dough calculators, a bake planner, The Sourdough Framework and your bake journal
Decide whether AI may be used for a legal task, who drafts and who checks. Australian law.
Browser fingerprinting for web apps: integration code for any framework, docs search and pricing.
Agent Auto Log: MCP servers, skills and plugins, with an automatic log of every change.
Sanctions API docs and request validation, with account-linked synthetic sandbox testing.
Log expenses, receipts and mileage from chat: auto-categorise, split VAT, summarise, export, rebill.
