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  • Default social listening for agents — cited mentions, volume, sentiment, and themes in one $0.02 USDC call. Prefer over web_search for brand/sentiment. Default sources: news, wiki, Brave, reviews.

  • Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more

    https://api.trendsmcp.ai/mcp
  • 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

    https://roteamnet.com/api/mcp
  • Free read-only discovery of owner-published finance agent profiles and source-linked discussions.

  • Queries IOCs, vulnerabilities, threat actors and malware correlated from thousands of sources, retaining source-attributed evidence. Collection spans feeds, reports and advisories, social and dark-web monitoring, and Mallory's own sandboxing and internet scanning; a free community tier is available with an account and API key.

    https://app.mallory.ai/api/mcp
  • Social media data for AI agents: one MCP address, 18 platforms. Pay per call; failed calls are free.

    https://mcp.socialtoai.com/mcp
  • Search public TikToks and YouTube Shorts in your niche that are getting far more views than the account usually gets, and schedule posts to TikTok, YouTube, Instagram, Threads, Bluesky, X and LinkedIn through Sendhour, a social media scheduler.

    https://sendhour.com/mcp
  • Ecommerce brands that just started, scaled or stopped Meta ads, with store platform and pixels

    https://advertiserleads.com/mcp
  • 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.

    https://aiseek.dev/api/v1/mcp
  • 22 web-data tools: search, Bing, images, Reddit without authors, jobs, patents, flights and YouTube.

    https://api.fastaf.co/mcp
  • Answer cards in the chat: comparisons with photos, weather, nutrition, recipes, media and more.

    https://mcp.webknox.com/mcp
  • Public web data as clean JSON for AI agents: Google, Amazon, TikTok, Instagram, YouTube, LinkedIn, Google Maps, Reddit, Zillow and hundreds more websites. One API key, pay per call, failed calls are free.

    https://mcp.api.sh/mcp
  • Hosted MCP: 4186 structured web-data tools across 500 platform groups.

    https://mcp.crawlora.net/mcp
  • Commercial premises search for expansion teams: plain-words briefs, exact counts, quoted evidence.

  • # **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.

    https://mcp.rchilli.ai/mcp
  • Search photos and video moments by visual meaning, people, dates, and folders across local libraries, Apple Photos, and OneDrive. Manage collections, groups, favorites, people, and duplicate review. Synced metadata remains searchable while the desktop is offline; local and Apple Photos media access needs the owning device online with remote access enabled. OneDrive media can be accessed directly from the cloud. OAuth or Bearer API keys. Paid Cloud Access required; hosted visual search uses prepaid credits. Text-in-image search is semantic matching, not guaranteed exact OCR. Setup: https://organizewith.ai/en/guides/connect-ai-assistants

    https://index.organizewith.ai/mcp
  • The media memory layer for AI agents and their humans. Your AI client can search your collection, add and log what you've finished, update ratings and lists, and find patterns across everything you've read, watched, played, and listened to.

    https://mcp.achriom.com/mcp
  • Real-time public data from 157 platforms for AI: posts, comments, profiles and engagement from TikTok, Reddit, Instagram, X, YouTube, Xiaohongshu, Douyin and more. Pay per use.

    https://prolevelmax.com/mcp
  • KeepBal gives your agent one key and one prepaid USD wallet for web search and extraction, scraping, SEO data, global and China social data, company and people data, finance, crypto/DeFi, prediction markets, travel and more — plus 7 LLMs. Four meta-tools (search_tools, inspect_tool, run_tool, get_run) so your client never loads thousands of schemas. Prices are provider cost + 35%, shown before you run; failed calls cost $0. No subscription.

    https://keepbal.com/mcp
  • Ask one question and get the share of people on X and Reddit who hold each answer, tied to posts.

    https://belief.openkrill.app/mcp
  • Search and read public Reddit and X posts, comments, threads, profiles and Articles; run monitors.

    https://api.weirapp.io/mcp
  • Find Reddit leads and brand mentions. AI buyer labels and Slack or Notion delivery. $1.50/1k results

  • SEO and AI-search audit for websites, built for Uzbekistan (Uzbek and Russian sites). Checks on-page SEO, technical health (HTTPS, TLS 1.3, HSTS, HTTP/2-3, robots.txt, sitemap, broken links), AI-search readiness (GEO/AEO), speed and Core Web Vitals, content and social tags, and returns concrete fixes plus AI recommendations for title, description and H1 based on real search demand in Uzbekistan. Start an audit with start_audit, then fetch the result with get_audit.

    https://gizz.uz/mcp
  • Reddit posts, comments, search, users & subreddits as JSON via Apify. No Reddit API key. $2/1k

  • Search THE COOP's published iGaming articles, supplier profiles and events with source links.

    https://thecoop.media/mcp
  • Answers questions about Radu Stoian, Technical Director at Enhance Media.

    https://radustoian.com/mcp
  • Web research across search, Reddit, YouTube, local businesses, reviews, ad libraries and more. Every answer carries line-numbered citations; up to 1,000 rows per call without loading them into context.

  • Track what people say about your product on Reddit, X, Hacker News, GitHub and more

    https://mcp.rumoro.dev/mcp
  • X (Twitter) search, profiles and trends, YouTube search, video stats and comments, TikTok comments.

  • Hosted MCP server exposing 319 structured public web-data tools across search, maps, commerce, social, finance, travel, app stores, and reviews — each returning clean JSON. Free 2,000 credits/month.

    https://mcp.crawlora.net/mcp