"Google Marketing Platform" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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
Public company research with 9 focused tools: technology, hiring intent, open jobs, job changes, Google Ads and published contacts. Get a qualifying four-signal company profile for $0.03, plus breakout_summary growth estimates. Start with the free labeled example.com sandbox, 10 free successful calls per agent per UTC day (subject to a shared network ceiling), or an eligible 25-call trial. Setup: https://gethirepulse.xyz/?ref=glama-b2b#start-b2b . Reconnect to https://gethirepulse.xyz/mcp for all 27 tools, including batch and footprint research. Growth signals are estimates.
Hosted, read-only Google Search Console MCP: performance, comparisons, URL inspection, sitemaps.
Free Google Search Console MCP: your real GSC, Google Analytics and keyword data for AI agents.
Search YouTube and read video, channel and transcript data as JSON. No Google Cloud project.
Real-time Google Flights fares for agents. Three things people do with this server. Scan for deals: one call takes a date range and a list of destination airports, expands every combination server side, and returns each fare with Google's own low, typical or high verdict. Put live search in your app: flat JSON with a bookable link on every result, and round trips priced as paired legs. Run a 24/7 AI travel agent: add the server, sign in with Google, and schedule it. No ads, no sponsored content. You bring your own RapidAPI key, so every search is billed to your plan and never to anyone else's. Add https://flights.flightpowers.com/mcp , click Sign in, sign in with Google, and paste your RapidAPI key once on the page that opens. Scripts and clients without a sign-in button send the key as x-rapidapi-key on the same URL.
Google SERP as JSON: organic, AI Overview, People Also Ask, AI Mode, news, shopping. No Cloud setup.
Ask Nebula (Mumbai) about AI-first B2B digital marketing: services, sectors, GEO/AEO Answers, blogs.
Google Flights itineraries with fares, legs, carbon emissions and price history, as JSON.
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.
Ecommerce brands that just started, scaled or stopped Meta ads, with store platform and pixels
AiSeek is a global change-intelligence platform that connects AI assistants and autonomous agents to structured, source-linked information about developments across the world. Rather than providing a conventional news feed, AiSeek focuses on identifying meaningful changes, preserving their context, and making the underlying sources accessible. What a source says (fact) is kept apart from what it may mean (hypothesis). Coverage spans artificial intelligence, technology, global economics, financial markets, companies, government policy, science, and other major domains. The MCP server provides sixteen read-only tools. Every name follows one pattern: list_, get_, search_ or verify_. Changes and context: • list_changes — Browse the newest published changes, newest first, 20 per page. • search_changes — Search changes by words in English, Chinese or Japanese, ranked by relevance. • get_change — One change with its sources: outlet, link, date, evidence level and role. • list_topics — Browse curated topics, optionally by coverage domain. • get_topic — One topic and up to 50 of its recent changes. • get_latest_brief — The latest daily or weekly brief. • list_scheduled_events — Upcoming central-bank decisions, data releases, earnings, rule dates and more. Companies: • search_companies — Find a company by name, alias or ticker. • get_company — A company's profile, listings, recent changes, stated facts and relations. Countries and SeekEarth: • list_countries — Every country with its name and this week's number of changes. • get_country_heat — Change Heat per country against its own normal, with a seven-day series. • get_earth_view — One place and moment on SeekEarth: changes, heat and the Earth's layers. Evidence (SeekTrace): • get_change_history — A change's evidence receipts and what AiSeek knew at an earlier time. • get_receipt — One evidence receipt. • verify_receipt — Check that a stored receipt is unchanged. • list_corrections — Public corrections, newest first. Tool calls need an AiSeek API key (Authorization: Bearer or the x-api-key header), made at aiseek.dev/en/account; the handshake and the tool list are open. Optional connection defaults go on the endpoint URL: ?locale=en|zh|ja&limit=1-50&domain=MARKETS. Answers carry sources and links, never quoted passages.
Google keyword search volume, CPC, difficulty, keyword ideas and Google Trends. Pay per call (x402)
Google Trends interest over time, by region, and related queries and topics, as JSON.
Keyword volume, live SERP ranks, domain traffic, ranked keywords, backlinks, Google Trends, YouTube.
Google SERP results, keyword volume and ideas, rank tracking, backlinks, site audits. Pay per use.
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
Hosted MCP: 4186 structured web-data tools across 500 platform groups.
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
Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more
ChatGPT visibility, SERP, Ads, Maps, Hotels, traffic, backlinks, News, Amazon, jobs, Trends.
HirePulse intelligence gateway with 27 tools: B2B company research, job changes, merchant evidence, web-to-Markdown, product data and commerce checks. Company profile: technology, hiring, Google Ads and public contacts for $0.03 per qualifying result, plus growth estimates. Free advisor and labeled example.com sandbox. 10 free successful calls per agent per UTC day, subject to a shared network ceiling; eligible 25-call trial. Paid results use x402 USDC on Base. Focused profiles: B2B 9 tools and commerce 11 tools. Setup: https://gethirepulse.xyz/?ref=glama#start-b2b .
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
Google search, news, maps, webpages, cited answers, research and ChatGPT/Gemini answers for agents.
Search hotels & rentals: live prices & reviews across Booking.com, Airbnb, Vrbo & Google Hotels.
Ask how ten AI engines (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, AI Mode, Copilot, Grok, DeepSeek, Meta AI) describe a brand, which sources they cite and how that changed, then build white-label client reports from the same data. 74 tools; every write is shown as a preview first and needs a second, confirmed call.
Google indexer: free IndexNow, Bing, sitemap and index checks; paid backlink force indexing Google indexer and URL indexer for AI agents. Free URL submission for sites you own: IndexNow and Bing Webmaster Tools, sitemap resubmission to Google Search Console, and a free index checker (Search Console URL inspection) that finds pages stuck in 'Crawled - currently not indexed' or 'Discovered - currently not indexed'. Force indexing (paid) is the fast indexing service: a backlink indexer and link indexer that pushes any public URL, including backlinks and pages you don't own, to Google through a third-party indexing service so Googlebot crawls it sooner. It uses URL credits, always shows an exact quote first and needs the account owner's approval; Google still decides what it indexes. It never uses the Google Indexing API. Which one do I need? New page missing from Google: Free URL submission + index check first, then Force indexing if still not indexed. Backlinks or links you don't own: Force indexing. 'Crawled - currently not indexed' or 'Discovered - currently not indexed': free index check, then Force indexing. Is my page indexed?: check_if_url_is_indexed (free). Notify Bing and other IndexNow engines: Free URL submission. Fast or instant indexing searches: Force indexing, without any indexing or timing guarantee. Google has no public indexing API, so free submission can't force Google; Force indexing is the paid option. Free URL submission: IndexNow (Bing, Yandex, Seznam, Naver), Bing Webmaster Tools, sitemap resubmission to Google Search Console, and a free Google index checker through Search Console URL Inspection. For sites you own or have connected. Force indexing (paid): 1 URL credit per URL the third-party indexing service accepts. Always an exact quote first, then account-owner approval in the dashboard. No indexing, ranking or timing guarantee. Tools: - Free: Free URL submission: IndexNow (`submit_urls_to_indexnow`) - Free: Free URL submission: Bing Webmaster Tools (`submit_urls_to_bing`) - Free: Free URL submission: IndexNow, Bing and the Google next step (`notify_search_engines_free`) - Free: Free index check: are URLs indexed in Google (`check_if_url_is_indexed`) - Free: Submit a sitemap to Google and Bing (`submit_sitemap`) - Paid: Force indexing: read URL credits and readiness (`get_force_indexing_balance`) - free to call; no purchase or indexing-service call - Paid: Force indexing: quote URLs (backlink and Google indexer) (`quote_force_indexing`) - Paid: Force indexing: submit approved quote (`submit_force_indexing`) - Paid: Force indexing: read job (`get_force_indexing_job`) - Paid: Force indexing: list jobs (`list_force_indexing_jobs`) Example prompts: - "Is https://example.com/new-post indexed in Google? If not, resubmit my sitemap." - "Index these 5 backlinks in Google: quote Force indexing and wait for my approval." - "My pages show 'Crawled – currently not indexed' in Search Console; check them and suggest a fix." Search keywords and tags (most searched first): google indexer, google indexing, page indexer, website indexer, web indexer, indexnow, submit website to google, index checker, google index checker, submit url to google, link indexer, backlink indexer, index backlinks, seo indexer, crawled currently not indexed, discovered currently not indexed, url indexer, google crawl request, indexing service, link indexing service, rapid indexing, request indexing, instant indexing, fast indexing, force indexing, force crawl google Docs: https://docs.crakseo.com/mcp-servers/url-indexing Free URL submission and Force indexing: https://docs.crakseo.com/seo-mcp/managed-indexing
# **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.
Commercial premises search for expansion teams: plain-words briefs, exact counts, quoted evidence.
