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Explore 500,000+ active job postings worldwide — in the United States, Europe and other international markets. This public search connection offers five read-only tools: discover supported countries and work filters, find employers, search active jobs, read full postings and inspect market totals. Search and original application links are free. Find full-time roles or remote, part-time, contract and flexible opportunities for extra income. Use declared weekly hours and schedule filters; unknown hours are not invented, and remote does not automatically mean worldwide work eligibility. Check the full posting before applying. Try: “Show supported countries and filters, then find remote part-time jobs with at most 20 declared hours per week”, “Find employers hiring PHP developers in my eligible countries”, or “Open the full posting and original application link for this job”. The Glama discovery profile is deliberately limited to jobs:read. It cannot access a CV, modify a tracker, spend AI credits, send applications or buy anything. The wider roTEAMnet platform also offers confirmed-fact CV preparation, fit analysis, document export and application tracking through separately authorized private tools and the website. A verified free account includes 15 one-time AI credits for those optional workflows. Connect using OAuth. Permissions are scoped and revocable. Interface: English, German, French and Romanian. Setup and examples: https://roteamnet.com/en/ai-agent?utm_source=glama&utm_medium=connector_directory&utm_campaign=connector_launch#first-result
Find where AI agents talk to each other: watched boards, live status, levels and how to use them.
Find where AI agents talk to each other: watched boards, live status, levels and how to use them.
Search and download licensed stock images, SVG illustrations and packs, brand logos, sound effects, low-poly 3D game models and videos from ImgSearch. Sign in with a free ImgSearch account over OAuth; searching is free and downloads use your plan's allowance.
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.
AI search visibility MCP: brand mentions in ChatGPT and Perplexity, Google AI Overview citations. Whether ChatGPT and Perplexity mention a brand for a buyer's question and which sources they cite, and which pages Google's AI Overview cites for a keyword. Use to check brand mentions and cited sources for specific ChatGPT or Perplexity prompts, or Google AI Overview citations for a keyword. This focused SEO Data subset provides sampled checks, not continuous monitoring or an overall visibility score. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Check whether ChatGPT mentions my brand for the buyer question I provide, after I approve the API-credit spend. - Within my approved API-credit budget, check Perplexity brand mentions and cited sources for my prompt. - After confirming the API-credit cost, show Google's AI Overview sources for my keyword and report when no overview is returned. Docs: https://docs.crakseo.com/mcp-servers/ai-visibility
Local SEO MCP: Google Maps rankings, Google Business Profile ratings and review counts. Google Maps positions for a keyword in a city with rating, review count, category and address, and a business's Google Business Profile with rating distribution and claimed status. Use for point-in-time Google Maps rankings and Google Business Profile lookup by location. This focused SEO Data subset returns rating and review-count summaries, not full review text, review replies or Business Profile management. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Check Google Maps results for 'running shoe store' in the city I specify after I approve the API-credit cost. - Within my approved API-credit budget, compare Maps rankings for the same keyword in two specified places. - After confirming the API-credit spend, retrieve the business profile I specify and summarize its rating and review counts, not review text. Docs: https://docs.crakseo.com/mcp-servers/local-seo
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Keyword volume, ideas, gaps, rank tracking, backlinks, site audits, domain SEO, Trends. Pay per use.
SEO site audit MCP: up to 5 supplied URLs for on-page issues, plus Lighthouse page-speed scores. On-page and technical SEO checks for up to 5 pages (status code, on-page score, title, meta description, H1, canonical, word count, links, load time and every failed check), plus Lighthouse scores and Core Web Vitals for a page. Use before publishing or after a migration to check up to 5 supplied URLs per audit, or inspect a page's speed. This is a focused SEO Data subset, not an automatic whole-site crawler. Distinguish Lighthouse lab checks from field measurements. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Audit the owned page I provide for title, headings and canonical issues after I approve the API-credit spend. - Within my approved API-credit budget, compare failed technical checks for up to five supplied pages. - After confirming the API-credit cost, report Lighthouse scores and available Core Web Vitals for my page, distinguishing lab checks from field data. Docs: https://docs.crakseo.com/mcp-servers/site-audit
Google rank checker MCP: live positions, ranked keywords, competitor domains and keyword gaps. Check a domain's live Google positions for up to 10 keywords per call, retrieve ranked keywords, find organic competitors and compare competitor keyword gaps. Results are snapshots, not built-in scheduled tracking or ranking history. Use to check current Google positions or research competitor keywords. This is a focused SEO Data subset. Use Search Console instead for your own connected site's historical performance; this connection does not schedule future checks. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Check my domain's live Google positions for these five keywords in the US after I approve the per-keyword API-credit spend. - Within my approved API-credit budget, show keywords the supplied domain currently ranks for. - Find competitor domains and keyword gaps for my domain after confirming the API-credit cost. Do not imply this sets up scheduled tracking. Docs: https://docs.crakseo.com/mcp-servers/rank-tracker
Backlink checker MCP: backlink summary, top backlinks, referring domains and anchor texts. A backlink summary (rank, backlinks, referring domains, broken links, spam score) and the strongest backlinks with anchor text and follow status, plus referring domains and anchor text counts for any domain or URL. Use to analyze backlinks, referring domains and anchor text for your site or a competitor. This focused SEO Data subset checks links; it does not submit backlinks for indexing. For a backlink indexer, use the separate URL Indexing server's paid Force indexing offering. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Check my domain's backlink summary and top backlinks after I approve the API-credit spend. - Within my approved API-credit budget, list the referring domains for the domain I provide. - After confirming the API-credit cost, summarize the anchor texts in my domain's link profile without assuming they prove a penalty. Docs: https://docs.crakseo.com/mcp-servers/backlinks
Keyword research MCP: search volume, CPC, keyword difficulty and keyword ideas by country. Monthly search volume, CPC, competition, keyword difficulty and intent for any keyword and country, keyword ideas from seed terms, and the keywords a competitor ranks for that you don't. Use for keyword ideas, search volume, CPC, difficulty and competitor keyword gaps when planning content or choosing targets. This is a focused subset of SEO Data; connect it instead of the toolkit when you only need keyword research. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Compare search volume and CPC for my keyword batch in the US after I approve the API-credit cost. - After confirming the API-credit spend, compare keyword difficulty for my shortlist and explain the limits of the estimates. - Find keyword ideas and competitor keyword gaps for the seed and domains I provide, within my approved API-credit budget. Docs: https://docs.crakseo.com/mcp-servers/keyword-research
Google SERP API MCP: live Google, Bing, AI Overview and Google Maps results as JSON. Pay per call. Live search engine results pages as structured JSON: Google organic results with SERP features and AI Overview sources, Bing results, Google Maps local results, and live Google rank checks for a domain across up to 10 keywords. Use when an agent needs live Google or Bing search results for a keyword, country, language and device. This is a focused subset of SEO Data, not an additional required connection or a scheduled monitoring service. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - Show the top ten Google results and SERP features for 'trail running shoes' in the US, after I approve the API-credit spend. - Compare Google and Bing results for my keyword in the same market, within my approved API-credit budget. - After confirming the API-credit cost, report which source URLs Google's AI Overview cites for my keyword. If none is present, say so. Docs: https://docs.crakseo.com/mcp-servers/serp-api
Real eBay sold prices for used GPUs, CPUs, RAM and more in 7 markets, and eBay listing price checks.
Read a CFR or eCFR section, or search US federal regulations and the Federal Register.
Cite42 gives AI agents AI visibility, citations, SEO keywords and trends, plus four weekly or monthly trackers: AI Visibility, AI Competitors, AI Citations and AI Sentiment. Use it over MCP from Claude, Codex or Cursor, or via the REST API. $1 free on signup, no subscription. Learn more at https://www.cite42.dev
What people who use a piece of software say about it: vouches, recommends and their reasons.
# **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.
SEO data MCP: SERP, keywords, backlinks, live rank checks, page audits, local and AI checks. Every SEO data tool in one server: Google and Bing SERP results, live rank checks, AI Overview sources, keyword search volume, ideas and difficulty, backlinks, referring domains and anchors, ranked keywords, competitor domains and keyword gaps, site audits with Lighthouse scores, Google Maps rankings, Google Business Profiles, and ChatGPT and Perplexity brand mentions. Start here for paid SEO research with one connection. Includes all seven focused SEO data servers' tools at the same prices and from the same API-credit balance; do not connect both for duplicate results. Search Console reporting and URL Indexing are separate connections. Billing: paid data calls use API credits; get_api_credit_balance is free. The focused connections and SEO Data use the same balance and prices. Example prompts: - After I approve the API-credit cost, compare US search volume and difficulty for 'trail running shoes' and 'running shoes for flat feet'. - For the domain I provide, check its backlink summary, referring domains and anchor texts after confirming the API-credit spend. - Compare live Google positions and competitor keyword opportunities for my domain and keywords, within the API-credit budget I approve. Docs: https://docs.crakseo.com/mcp-servers/seo
