RChilli

smithery/dev-ko1g/rchilli

# RChilli RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli HR data intelligence capabilities as AI-callable tools. It supports resume and job-description processing, skills intelligence, candidate-job matching, compliance, search, screening, and recruiting workflow assistance. Tools return structured JSON responses designed for ATS, HCM, HRIS, staffing, and recruiting workflows. Authentication is handled through the Bearer token. `userkey` and `subuserid` are injected automatically and must not be passed manually. ## # **Available Tools** ### `analyze_hr_call` — HR Call Analyzer Agent Analyze recruiting calls for insights, sentiment, candidate intent, skill mentions, and follow-up action items. ### `analyze_skill_adjacency` — Skill Adjacency Graph Agent Identify related, adjacent, and transferable skills to support talent mobility, skill discovery, and candidate evaluation. ### `analyze_skill_gap` — Skill Gap Analysis Compare a candidate or employee profile with a target role and identify present skills, missing skills, readiness, and development areas. ### `autocomplete_job_profile` — Job Profile Autocomplete Return ranked type-ahead suggestions for a partial job title, including canonical titles and job families. ### `autocomplete_skill` — Skill Autocomplete Return ranked type-ahead suggestions for a partial skill string using standardized skill names and categories. ### `classify_job_zone` — Job Zone Classification Identify the O*NET Job Zone level, from 1 to 5, for a job profile found in a resume or job description. ### `convert_document_format` — Document Format Conversion Convert resume or job-description documents between PDF, DOCX, RTF, HTML, and plain-text formats. ### `detect_bias` — Bias Detection Agent Detect potentially biased language in job descriptions and screening criteria, and suggest more neutral alternatives. ### `detect_resume_suspicion` — Resume Suspicion Detection Agent Identify possible inconsistencies, unusual claims, timeline conflicts, or missing context in a candidate profile for recruiter review. ### `extract_contacts` — Contact Extraction Extract names, email addresses, phone numbers, LinkedIn URLs, and addresses from unstructured candidate text. ### `extract_job_data` — Job Description Data Extraction Extract structured hiring requirements from job descriptions into normalized data, including title, skills, responsibilities, experience, and education. ### `extract_resume_data` — Resume Data Extraction Extract structured candidate data from resumes and CVs into normalized fields, including contact details, skills, experience, education, and certifications. ### `extract_resume_data_from_url` — Resume Data Extraction from URL Fetch a resume from a supported URL and extract structured candidate data into normalized fields. ### `find_matches_in_index` — Find Matches in Index Match a resume or job description against an indexed corpus and return ranked best-fit results. ### `generate_interview_questions` — Interview Question Generation Generate technical, behavioral, situational, and competency-based interview questions using job and candidate data. ### `generate_jd` — Job Description Builder Create a structured job description from role inputs, including responsibilities, qualifications, required skills, and preferred skills. ### `geolocate` — Geolocation / Location Normalization Standardize informal location data into city, state, country, ISO codes, latitude, and longitude. ### `index_document` — Index Resume / JD for Search & Match Index a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused in downstream workflows. ### `lookup_job_profile` — Job Profile Lookup Retrieve the full taxonomy record for a job profile, including canonical title, job family, codes, skills, and work context. ### `lookup_skill` — Skill Lookup Retrieve the full taxonomy record for a specific skill by name or ID, including aliases, related skills, and classification mappings. ### `map_job_to_skills` — Job-to-Skill Mapping Agent Map a job description to required and preferred skills, proficiency indicators, and standardized skill taxonomy data. ### `match_end_to_end` — End-to-End Matching Agent Run a complete candidate-job matching workflow, including extraction, normalization, matching, ranking, explainable results, and audit information. ### `normalize_candidate_data` — Candidate Data Normalization Agent Standardize candidate data from multiple ATS or HR systems, resolve conflicts, deduplicate records, and provide field-level change details. ### `normalize_hr_data_with_lov` — Normalize HR Data with LOV Map raw HR values, such as degrees, certifications, skills, job profiles, and locations, to configured List of Values entries. ### `recommend_learning_path` — Learning Path Recommendations Recommend learning paths based on skill gaps, including prerequisites, skill sequence, certifications, and proficiency targets. ### `redact_resume` — Resume Redaction Remove configured personally identifiable information from candidate profiles to support compliant and anonymized review. ### `reformat_resume_with_template` — Candidate Resume Reformatting Apply an RChilli resume template to a structured candidate profile and generate a standardized PDF, DOCX, RTF, or HTML output. ### `score_resume_against_jd` — Resume-to-Job Description Fit Score Return an explainable fit score between one resume and one job description, including dimension scores, matched skills, and skill gaps. ### `screen_application_batch` — Prescreening Agent Screen a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions. ### `search_indexed_documents` — Indexed Document Search Search a pre-populated index of resumes or job descriptions using keyword, Boolean, or semantic queries. ### `skill_mapping` — Skill Mapping Agent Map raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. ### `tag_entities` — Named Entity Recognition Tag HR text inline with structured labels for job titles, skills, names, degrees, organizations, locations, dates, and other HR entities. Built on 15+ years of HR data intelligence. Trusted by many organizations worldwide. ## Access Sign in with your **RChilli MyAccount** — the server uses **OAuth 2.0**, so there are no API keys to copy or paste. Don't have an account? Get one at [rchilli.com/contact-us](https://www.rchilli.com/contact-us). **MCP endpoint:** `https://mcp.rchilli.ai/mcp`