"A server for finding weather information in China" matching MCP connectors:

Social media analytics, video analysis, and competitor intel for any MCP-compatible AI agent.

RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats. Key Features Zero boilerplate — One endpoint, one OAuth login, 17 tools ready to use OAuth 2.1 + PKCE — No API keys to copy or paste; fully automatic auth flow 200+ resume fields — Name, contact, skills, experience, education, certifications, and taxonomy-enriched job profiles ONet / ESCO taxonomy — 10,000+ curated skills and job profiles with canonical mappings Explainable matching — Field-level evidence for every candidate-to-job score Bias redaction — PII and bias field removal for fair-hiring workflows Document conversion — PDF, DOCX, RTF, HTML — convert in any direction Auto-injected credentials — userkey and subuserid injected from token; never pass them manually Consistent response envelope — Every tool returns { success, data, meta } with trace ID and latency Use Cases Resume screening — Parse and structure resumes for AI-powered shortlisting Job description analysis — Extract required skills, experience range, and qualifications from any JD Candidate-to-job matching — One-to-one fit scoring with field-level evidence, no indexing required Talent pool search — Keyword search across your indexed resume database Skill gap analysis — Identify what a candidate is missing for a specific role Bias-free hiring — Redact names, photos, gender, and age before sharing with hiring managers Taxonomy enrichment — Look up and autocomplete 10,000+ standardized skills and job titles Document standardization — Convert and reformat candidate documents into consistent templates Tools — 17 Total userkey and subuserid are injected automatically from your Bearer token — you never need to pass them manually. 🔍 Resume & Job Description Parsing — 3 tools parse_resume Extracts 200+ normalized fields from resume text — name, contact, skills, work history, education, certifications, and a taxonomy-enriched job profile. Best suited for plain text resumes. parse_resume_from_url Delivers the same deep extraction as parse_resume, but fetches the file directly from a public URL. Supports PDF, DOCX, RTF, and 15+ other formats — ideal when the resume lives in cloud storage or behind an ATS link. parse_job_description Turns a job description into clean structured data — required and preferred skills, experience range, salary, qualifications, and taxonomy mappings. Accepts both job description text and files. 🧠 Skills & Job Taxonomy — 4 tools lookup_skill Returns authoritative detail for any skill — definition, aliases, related skills, ontology placement, and ONet/ESCO codes. Grounds all skill reasoning in a standardized taxonomy instead of guesswork. lookup_job_profile Returns canonical detail for a role — required skills, career level, ontology, and ONet/ESCO mappings. Answers "what does this role actually need" using real taxonomy data. autocomplete_skill Suggests skill names from a partial keyword across 10,000+ curated skills, keeping free-text inputs aligned to the canonical taxonomy. autocomplete_job_profile Suggests job profiles from a partial keyword across 10,000+ curated job titles — powering fast disambiguation and consistent input alignment. 🛡️ Redaction, Documents & Utilities — 7 tools redact_resume Masks or removes bias and PII fields — name, photo, age, gender, contact — to produce a blind version safe for sharing with hiring managers. Field selection is fully configurable. reformat_resume_with_template Restyles any resume into a branded template (TM001–TM006) and outputs PDF, DOCX, RTF, or HTML — standardizing how every candidate is presented. convert_document_format Converts a resume document between formats — DOCX to PDF, RTF to HTML, and more — with optional face-image detection. extract_named_entities Tags named entities such as job titles, skills, cities, degrees, and organizations, along with their exact positions in any free text. extract_contact_info Pulls contact details — name, email, phone, address, city, state, country, and website — out of completely unstructured text. geocode_locations Resolves latitude and longitude for one or more locations, or for locations found inside parser output — enabling distance and radius logic. determine_job_zone Determines the O*NET Job Zone level (1–5) for a resume or JD — useful for leveling candidates and gauging role seniority. 🎯 Search & Matching — 3 tools score_resume_against_jd Produces an explainable one-to-one fit score between a resume and a JD, backed by field-level evidence. No prior indexing required. find_matches_in_index Ranks an indexed corpus of resumes or JDs against a source document, returning the strongest matches with scores across your talent pool. search_indexed_documents Runs a keyword search over your indexed resumes or JDs — find candidates or roles by skill, title, or any term.

Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.

Multi-carrier shipping for AI agents: compare rates, buy labels, track packages, validate addresses

User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

shared AI-context layer for teams — persistent memory your agents search and update over MCP

LinkedIn data for AI agents: structured profiles, people search, companies, and posts over MCP or REST. 500 free credits, no card.

Sales intelligence for B2B SMEs — lead scoring, ICP fit, CRM enrichment & writeback.

Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.

Share prototypes for team review: publish HTML, reviewers pin notes, pull feedback back to apply.

Operate smplkit from your agent: feature flags, config, logging, audit, and scheduled jobs.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

127 REST operations. 119 MCP routes; 118 JSON/text ops. OAuth 2.1. Not affiliated with X Corp.

Reassign: a circular 24-hour calendar and time-tracking copilot with ADHD-friendly scheduling.

Austria's official company register (Firmenbuch) – master data, financials & ratios for AI agents.

Project portfolio management for PMOs. Alternative to Microsoft Project Online. OAuth + PAT.

Publish websites from Claude, the terminal, or CI — drop a folder, get a link that doesn't expire.

Scan public websites for privacy, cookie, tracker, consent, policy, and disclosure risk signals. Start instantly with zero-auth Light mode—no account or API key required.

AI Visibility and Content Intelligence tools for Claude and MCP-compatible agents.

AppDeploy turns app ideas described in AI chat into live full-stack web applications