"C# Azure .NET development assistance" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Find explanations and worked examples in Ithy’s public article library, from SSD capacity to USB-C cables. Search titles and descriptions, then read relevant passages with source links and dates. No account or API key. Read-only; no new research or private data access. Articles are AI-assisted secondary sources—check important claims against original references. https://ithy.com/connect
Find home exercises, equipment variations and reviewed 15-second video demonstrations.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Geppetto Robot Directory is a robot directory for people and AI agents. It covers 830+ robots, 290+ brands, 31 categories, 260+ professions scored, and 540+ datasets, and links each robot to its brand, the parts inside it, the datasets that train it, and the jobs it affects. Tools: search_robots (by category, brand, price, or use case), get_robot (full specs), compare_robots (side by side), get_category (all robots in a category), get_job_automation_risk (Robot Impact Score 0 to 100 for a profession), search_datasets and get_dataset (robot training datasets by platform, modality, license, commercial use), get_component_category (hardware part types with supply-chain analysis), and search_suppliers and get_supplier (robot hardware component suppliers). The Robot Impact Score combines task-automation research (35%, Oxford Frey and Osborne), IFR deployment (30%), academic consensus (20%, the average of the Oxford score and the OECD risk band), and robot density (15%). O*NET is a cross-reference, not a scoring input.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Search university course materials, your flashcards, quizzes, streak and quota. All tools read-only.
Hosted MCP: 4186 structured web-data tools across 500 platform groups.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Independent, EU, privacy-focused web search for AI agents. 25 free searches/day.
Search and read UmbHost help articles: GreenStack, Umbraco hosting, DNS, email, SSL and more.
# **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.
Affiliate programs, deals, tracked links and product search, plus merchant program setup tools.
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 jobs in Finland and calculate net salary. Read-only, no login. English, Finnish, Swedish.
Forecast + analytics market data for AI agents: financial forecasts (revenue/net income/EPS), fundamental screening, historical market cap across 70+ exchanges and 100k+ tickers. OAuth 2.1 or API token.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
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
Paid claim verification with cited web evidence, source provenance, snapshots, and hashes.
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).
Hybrid search, schema introspection and record read/write over FoxNose collections
