RChilli · MCP Hub

RChilli, inside your AI assistant

A Model Context Protocol (MCP) server that lets Claude, ChatGPT, Cursor and other AI clients parse resumes & job descriptions, enrich skills via taxonomy, redact PII, and score candidate–job fit — all from a plain-English request.

Connect at https://mcp.rchilli.ai/mcp

Connect your client

Add this MCP server URL in your AI client (Claude, Cursor, ChatGPT, or any MCP-compatible app):

https://mcp.rchilli.ai/mcp

The server uses the standard MCP Streamable HTTP transport with OAuth 2.0. Your client will open a secure login the first time you connect.

Access & login

You sign in with your RChilli MyAccount at https://myaccount.rchilli.com.
Your client is authorized via OAuth — no API keys to copy or paste.
Your RChilli userkey is used automatically for every tool call.

Don't have an RChilli account yet? Contact RChilli to get a MyAccount and userkey, then come back and connect.

What you can do

Just ask in plain English — your client picks the right tool. Examples below.

Resume & Job Description parsing

Tool	What it does	Example prompt
`parse_resume`	Extract 200+ structured fields (skills, experience, education, contact) from resume text.	"Parse this resume and list the candidate's skills and experience: <paste>"
`parse_resume_from_url`	Same, but fetches the resume from a public URL (PDF, DOCX, RTF…).	"Parse the resume at this link: https://…/cv.pdf"
`parse_job_description`	Extract required skills, experience range, salary and qualifications from a JD.	"Parse this job description and list the required skills: <paste>"

Skills & Job taxonomy (ONet / ESCO)

Tool	What it does	Example prompt
`lookup_skill`	Authoritative detail on a skill: aliases, related skills, ontology, ONet/ESCO.	"What is the skill Kubernetes? Show related skills."
`lookup_job_profile`	Detail on a role incl. the skills required for it.	"Give me the skills to be a QA engineer."
`autocomplete_skill`	Typeahead skill suggestions for a partial term.	"Suggest skills starting with 'java'."
`autocomplete_job_profile`	Typeahead job-title suggestions for a partial term.	"Suggest job titles starting with 'data'."

Redaction, documents & utilities

Tool	What it does	Example prompt
`redact_resume`	Mask/remove bias & PII fields (name, photo, age, contact) for blind hiring.	"Redact name, email and phone from this resume: <paste>"
`reformat_resume_with_template`	Restyle a resume into a branded template (PDF/DOCX/…).	"Reformat this resume into template TM003 as a PDF."
`convert_document_format`	Convert a document's file format (e.g. DOCX→PDF).	"Convert this resume to PDF."
`extract_named_entities`	Tag job titles, skills, cities, degrees, organizations in free text.	"Extract entities: Senior Java Developer at Infosys, Bangalore."
`extract_contact_info`	Pull name, email, phone, address from free text.	"Get the contact details from this text: …"
`geocode_locations`	Resolve latitude/longitude for locations.	"Get coordinates for Bangalore and London."
`determine_job_zone`	Determine the O*NET Job Zone level (1–5) for a role.	"What O*NET job zone is this candidate? <paste>"

Search & matching

Tool	What it does	Example prompt
`score_resume_against_jd`	Explainable one-to-one fit score between a resume and a JD (no index needed).	"How well does this resume fit this job? Resume: … JD: …"
`find_matches_in_index`	Rank an indexed corpus of resumes/JDs against a source document.	"Find the best candidates in my index for this JD: <paste>"
`search_indexed_documents`	Keyword search across your indexed resumes/JDs.	"Search my indexed resumes for 'Python machine learning'."