"IP address geolocation lookup service" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
# **RChilli MCP Hub** 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. <br> --- <br> # **Tools — 17 Total** userkey and subuserid are injected automatically from your Bearer token — you never need to pass them manually. <br> --- <br> # **🔍 Resume & Job Description Parsing — 3 tools** <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. When used on a careers page or application form, the same extraction call auto-fills every application field in under 10 seconds — documented to increase candidate conversion by up to 194%. Supports 40+ languages with English-normalized output for global intake, and runs in batch mode to process legacy databases or migration backlogs overnight at scale. Also supports resume reprocessing — re-running previously extracted resumes through the latest extraction logic and taxonomy version to bring older records up to current data quality, without requiring a new document from the candidate. Distinct from bulk import (first-time extraction of a new batch) and from talent data refresh (re-enrichment from a newer submitted resume). <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 the Resume Data Extraction tool. Ideal for pipeline automation where resumes are stored in cloud storage, S3, or email attachments. Also supports the same auto-fill, multilingual, and batch-processing capabilities as the core extraction tool for URL-based intake sources. <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 for recruitment automation and candidate matching. <br> --- <br> # **🧠 Skills & Job Taxonomy — 4 tools** <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, all aliases, related skills, proficiency levels, and O*NET/ESCO mappings. Use when you need the complete record rather than a ranked search. <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> > ### **`autocomplete_skill`** > > Accepts a partial skill string (min 2 chars) and returns up to 10 ranked autocomplete suggestions with canonical names and categories. Prevents free-text entry errors and keeps skill data clean at point of entry. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title string and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to taxonomy profiles from the moment a recruiter starts typing. <br> --- <br> # **🛡️ Redaction, Documents & Utilities — 7 tools** <br> > ### **`redact_resume`** > > Redacts personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. Configurable redaction scope. Idempotent. <br> > ### **`reformat_resume_with_template`** > > RChilli's Resume Reformatting tool accepts any structured candidate profile and applies one of six branded templates (TM001–TM006) to produce a consistently formatted output document in PDF, DOCX, RTF, or HTML — ensuring every candidate is presented in a standardized, professional layout regardless of how their original resume was structured. Designed for staffing firms, recruitment agencies, and enterprise HR teams who need to control candidate presentation at scale, it eliminates manual reformatting effort and enforces brand consistency across all submissions. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Preserves formatting fidelity. Useful as a pre-processing step before data extraction on non-standard file types. <br> > ### **`tag_entities`** > > RChilli's Named Entity Recognition tool takes already-extracted HR text and annotates it by wrapping each recognized entity in a structured XML-style label inline — returning output such as `<job_title>Senior Data Engineer</job_title>`, `<skill>Python</skill>`, `<city>Austin</city>`, `<degree>Bachelor of Science</degree>`, and `<organization>Google</organization>` — covering 10+ HR-specific entity types including person name, state, country, date, and year. Unlike data extraction tools that produce separate field lists, tag_entities preserves the full original text structure with entities labeled in place, making the output immediately consumable by ATS field-mapping pipelines, candidate profile builders, and content annotation workflows without any offset calculation or post-processing. <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. Safe for GDPR/CCPA workflows. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Enables radius-based candidate and job search and supports workforce planning analytics. <br> > ### **`classify_job_zone`** > > RChilli's Job Zone Classification tool reads the job profile from a resume or job description and returns its O/*NET Job Zone — one of five standardized levels ranging from Zone 1 (little or no preparation required) through Zone 2 (some preparation), Zone 3 (medium preparation), Zone 4 (considerable preparation), to Zone 5 (extensive preparation required) — based on the education, experience, and training criteria defined by O/*NET. The returned Job Zone level enables downstream workflows such as candidate-to-role fit filtering, compensation benchmarking, over/under-qualification flagging, and job architecture standardization without any manual O/*NET lookup. <br> --- <br> # **🎯 Search & Matching — 3 tools** <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one Job Description (no index required) and returns an overall match score, dimension scores, skill gap list, and natural-language explanation. Bias-controlled and audit-ready. <br> > ### **`find_matches_in_index`** > > Accepts a resume or Job Description as input and returns the top-N most similar documents from the indexed corpus ranked by semantic similarity. No index setup required for the input document. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant's pre-populated index. Supports Boolean and semantic search modes. Requires documents to be indexed before use.
Deploy ERC-20 tokens on Ethereum, Base, BNB Chain, Polygon, and Sepolia testnet via one MCP tool call. Returns a deployed contract address. $10 flat fee per mainnet deployment — same as human users. Free on Sepolia testnet. Requires an API key from https://avagenesis.com/api/agents/keys
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
High-quality residential proxy service across the globe.
Onymu is an MCP server for domain name search, domain availability checking, and social media username lookup. Check a domain name against hundreds of TLDs in one call, including .com, .io, .ai, .co, and country-code extensions. Generate brandable startup names, business names, and product names from a keyword, and instantly see which ones are still available to register. Check username availability across major social networks so a brand name comes with matching handles. Save domains, set favorite TLDs, and recall recent searches to keep name research organized across sessions.
Grounds LLMs in real Old Norse: lemmas, mediopassive paradigms, English→Old Norse lookup.
Hireable AI-visibility service: get a business named in AI answers. Free audit + x402 hire.
- DecionisOAuth unavailablecom.decionis
Bind authority to the exact action and re-evaluate before commit. The hosted Decionis MCP service connects proposed actions to policy decisions, organization context, and signed evidence. Start in shadow mode before enabling enforcement through a supported executor. Requires OAuth or an organization API key.
MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration
16 Dutch government data APIs — BAG address enrichment, IBAN→BIC, EU VAT (VIES), postcode geocoding (PDOK), vehicle history & ZE-zones (RDW), energy labels (EP-Online), NS train disruptions, ENTSO-E electricity prices, minimum wage, public holidays, ECB exchange rates, EU VAT rates, LEI company lookup (GLEIF)
The most reliable and accurate context for legal AI with benchmarks and clarity on accuracy. Starting in IP, our server offers free/metered usage options for AI and agents to recieve proper context to answer any legal AI question.
Company data of Aureum Technology GmbH, an IT service provider in Rodewisch (Vogtland, Germany), for AI assistants: services, prices, service area, contact details and full-text search across the website and its knowledge-base articles. Read-only, no authentication required, German content. Tools: firma_und_kontakt, leistungen_auflisten, preise_abfragen, website_suchen.
Remote MCP server for address-level civic data: FEMA flood zones, municipal 311 density trends, ACS census demographics, and address search. Same tools for every supported city (Montgomery AL and Baltimore MD live).
The internet's largest queryable infrastructure graph — 7.39 billion nodes, 39 billion edges, 5.6 million threat-intelligence relationships. Pivot from any IP, domain, or ASN across DNS, BGP, WHOIS, GeoIP, and threat intel in a single Cypher query. Most threat-intel and OSINT APIs are point lookups: you ask about one indicator, you get one record. Investigations don't work that way — you start from one suspicious domain and need to trace its hosting, its sibling domains, its registrar, its email
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Scan any URL, domain, or IP address for security threats using URLScanner.online. Returns a full security report including: Threat verdict (safe / suspicious / malicious) and 0–100 security score Threat intelligence across 70+ feeds (malware, phishing, blocklists) SSL certificate validity, expiry, issuer, and OCSP status HTTP security headers audit (missing / misconfigured) DNS records (A, AAAA, MX, TXT, NS, SOA) And More! Free to use. No account required. 10 scans/day
Gives an AI agent its own email address: create mailboxes, send and reply, read the inbox, and block until a reply arrives. Includes a draft lifecycle so a human can approve outbound mail before it sends.
Geolocate Me turns your phone into location context for any AI assistant. Install the iOS or Android app, connect once with OAuth, and your GPS is queryable in natural language. Ask where you are, where you parked, where you were yesterday at 3pm, or how long you were at the office — the assistant calls the tool and answers with a real street address. https://geolocateme.app
Independent hosted SBB/CFF/FFS MCP service for Swiss train schedules, prices, and ticket links by SwissTrip.
