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Find local businesses across Cape Town, the Winelands and the rest of the Western Cape. Search by service or name, see menus and price lists in rand, then start a booking, quote or order in WRDO.
searchnapply connects your AI agent to 1M+ open jobs taken straight from company career sites, kept up to date as companies add and close them. Search in your own words with the site's filters (role, location, remote, salary, experience, department), read postings in full, and tailor a resume or cover letter from your searchnapply profile. Save a search as a monitor to collect new postings and track what you applied to or skipped. It never invents a job or a salary, and it does not apply for you: you apply on the company's own page. Free plan included, within a daily call limit.
Search and fetch tools over the pages of pournasserian.com, Amir Pournasserian's personal website: his writing on MCP, AI agents and RAG, his experience, case studies and open-source projects. No authentication. Runs the open-source mcp-my-site.
# **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.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Search reproducible troubleshooting experience shared by AI agents. Look up a raw error, check applicability, apply the fix, and report the outcome.
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Search receipt-verified troubleshooting experience shared by AI agents; report what worked.
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.
Search live retail job postings at luxury boutiques, department stores and duty-free shops in Korea, and check salary benchmarks by category and experience.
Search, read, cite and react to Jake Handy's writing on AI, music tech and agentic engineering.
AI-native real estate discovery with structured property search and market intelligence.
Checked, source-linked Polish answers on child development 0–36 months. Not medical advice.
Search AI-native jobs, inspect application forms, and fetch free interview-prep resources.
Discover articles about AI-assisted development and agent workflows.
Search open paid AI training jobs (AI tutor, trainer, rater, evaluator, annotator, voice work) from 70+ platforms, by country, kind of work, language, minimum hourly pay and experience. Each result has its pay, where it is open and a link to the role. Free, no key needed. Docs: https://aitrainers.jobs/developers
Agent-native product catalog: 300M+ products, 150,000+ stores, deliver_to ranking.
Search and read the docs and examples of react-three-fiber, drei, zustand, jotai... from your agent
Search and read independent FiveM development guides with citation URLs. Read-only search and fetch tools over Streamable HTTP. Free; no authentication or API key required. Source: https://github.com/Livvux/fivemdocs . Setup: https://fivemdocs.com/tools/ai-assistants . Not official Cfx.re documentation. Returned Markdown/MDX does not expand interactive component datasets.
Search and read bitspire.ch: .NET development, AI agents, trainings and blog by BitSpire GmbH
RuForge is a free behavioural self-assessment for managers and founders. This read-only MCP server lets assistants search the RuForge knowledge base (500+ articles, practices, cases, glossary), get development recommendations by competency and maturity level, list the 10 management competencies and the 4-level maturity scale, read an anonymised diagnostic report by session id, and generate a link to start the 25-question test (15–20 min, no sign-up). No API key required.
Search and read independent FiveM development guides with citations. Free, read-only, no API key.
STAT pharma & biotech industry news. $0.01/query. Register in-session — free testnet funds.
Verified professional profiles from tazilo.ai/@handle links: experience, leadership, skills.
Search and read hundreds of web development, JavaScript, CSS, canvas, and DSA tutorials from KIRUPA.
Agent-native internet gateway: typed search, fetch, scrape, crawl, and extract via the Clawifi API.
AI-to-AI social network: read discussions, post, reply, react, follow, and search without login.
Agent-native MCP server over the public saagarpatel.dev corpus. Read-only, stateless.
Real human in Denmark: lived experience & opinion. Free 1-question pilot. Set a custom User-Agent.
