"Information about PG Vector" matching MCP connectors:
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Fair-price checks for Japanese renovation quotes, with sources and recomputable records.
Neutral, verification-gated MCP directory of Japan construction contractors (KIRA-audited).
Agent intake desk for property renovation. Read only, CORS open, fail closed, receipts recompute.
Ask about Shlok Bam, AI engineer: projects, experience, skills, patents. Live, read-only.
Ask about and change your Send4 flows, campaigns, conversations, leads and calendar.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Climate and disaster risk for any place or property: flood risk, heat waves, storms and hurricanes, wildfires, earthquakes, sea level rise and 7-day weather risk. Is it safe to go there? Ask about any city, address or coordinates and get this week's weather risk (heat, cold, wind, heavy rain, snow), wildfires, earthquakes, floods and cyclones happening nearby right now, long-term exposure to 2050 and 2080 (flood depth, sea level rise, extreme heat, drought, water stress) and the country's disaster-risk profile and rank among 194 countries. Also compares and ranks countries by risk for ESG and insurance research, and in Claude and other MCP Apps hosts shows an interactive map of the place right in the chat. Every value cites its source: INFORM, ND-GAIN, World Bank, CMIP6, ERA5, IPCC AR6, WRI Aqueduct, GDACS, NASA FIRMS, OpenAQ, ECCC GDPS. Remote, free, no API key, read-only.
Server-side conversion tracking for Meta, TikTok, etc. Set up tracking and ask about events.
PGxAI Andromeda is an educational reference tool for exploring published drug-drug interactions, gene-drug associations, and drug-disease interactions. View relevant excerpts from FDA drug labeling and other referenced sources, with links to the original documents. Learn about documented interactions and how genetic variants and metabolizer phenotypes relate to drug metabolism.
Preflight for AI agents, signed: one call; wallet, domain, IP abuse, package checks and CVEs.
Global investment research agent & knowledge base by ReportGem. Search 16 million+ global investment bank reports (Goldman Sachs, Citi, HSBC, UBS, JPMorgan, Morgan Stanley, Barclays, Nomura), 5 million+ reports from 200+ Chinese brokers and futures houses, company filings, SEC filings, earnings-call notes, academic papers and in-report charts; read page-cited source passages with sequential reading. OAuth login with a ReportGem account; new accounts get 10 free credits (about 100k returne
Scientific plotting for bioinformatics with about 160 free modules. Anonymous access supported.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Connect AI agents to Emitd email sending, message tracking, templates, and automations. Emitd hosts a Model Context Protocol server for integrating supported email operations into AI-agent workflows. Connect a compatible client to the hosted endpoint (https://mcp.emitd.com/mcp) and authenticate with an Emitd API key. Available tools depend on the key's permissions and enabled features. Emitd's capability areas include sending email, message activity, templates, contacts, audiences, segments, domains, analytics, inbound email, broadcasts, automations, webhooks, and suppressions. Use restricted keys, sending guardrails, and approval settings appropriate to each workflow. For more information check https://emitd.com
Search live jobs pulled straight from employer career sites (about 11M openings), read full postings with pay and the employer's apply link, find similar roles, and look up employers' open jobs, pay bands and local hiring demand. Free, no sign-in.
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.
Read-only building materials catalog: product search, specs and PLN net/gross prices.
Look up Swedish name days by date or name. Find out which names are celebrated today, discover the names associated with any calendar date, or find the name day for a specific name. The service provides Swedish name day information, including name meanings, cultural and historical background, alternative spellings, and name variants.
A2A Grocery — the agentic commerce hub for retail grocery, at its original address
Connect your Odoo to Claude and ChatGPT: ask about sales, stock, customers and invoices.
Levelset puts StandPoint's market research desk inside your assistant. Ask about a stock the way you would ask a person, and the answer comes back with real numbers from the desk's data instead of a guess.
SuperCatch connects your AI assistant to a trading-card and collectibles marketplace. Discover cards, inspect listing prices and availability, find seller storefronts, and review your own account or store data through focused MCP tools. ## For collectors Search listings by player, set, year, or keyword. Look up a product's current price, condition, availability, and active-listing count, then open the canonical SuperCatch page. Connect your account to read your purchases, order statuses, and watchlist, including saved price-alert targets. ## For sellers Review your store's listings, prices, quantities, inventory totals, and recent orders. Seller tools use the approved store owned by the connected account. ## Review pricing changes Preview one-time price changes for RAW, graded, or all cards. Choose At Market, Above Market, or Move Fast, and review increases, decreases, or both. Proposals use condition- or grade-specific market guidance and applicable pricing limits. Review exact prices and skipped listings in SuperCatch, then explicitly confirm Apply. Each batch covers up to 50 cards; reviews expire after 10 minutes and changed proposals require fresh approval. ## Plan ongoing repricing and marketplace publishing Prepare separate proposals for recurring repricing or publishing through your connected marketplace integrations. Review the affected cards, settings, connection, and safeguards inside SuperCatch before confirming. Graded automatic repricing requires explicit enrollment and suitable grade-specific comps. These preview tools do not activate automation, publish listings, or change prices directly. ## Try asking - Find Michael Jordan cards on SuperCatch. - Show my recent purchases and order statuses. - Which cards are on my watchlist? - Summarize my store inventory and recent orders. - Preview Above Market prices for my graded cards. - Prepare an automatic-repricing proposal for my RAW cards. - Find public documentation about managing listings. ## Connect and control access Add https://supercatch.com/api/mcp to a compatible MCP client using Streamable HTTP. Public marketplace, product, storefront, and public-documentation reads need no SuperCatch account. Private tools require sign-in and OAuth consent. Account documentation requires docs:read; staff guides also check your current role. Review or revoke access in Account Settings > Connected Apps. Connecting an assistant does not authorize automatic price changes or publishing. ## Help and support - Setup: https://supercatch.com/ai - Help: https://supercatch.com/help - Email: support@supercatch.com Prices and availability can change; review the linked SuperCatch page before buying.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
Ask about your business's sales, Google rankings, AI visibility and email marketing, and have Kooga write, change and send for you, asking first before anything leaves Kooga.
# **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.
A homemaking world for AI agents: keep a house, grow a garden, dance with friends.
Mira, by Mirabello: verified, source-cited data on citizenship and residency by investment, golden visas, immigration pathways, visa requirements, naturalisation and tax residency across 190+ countries. 68 tools, remote, no key needed. Built and operated by Mirabello Consultancy (Zurich, Dubai, Hong Kong): https://www.mirabelloconsultancy.com/mcp. General information, not legal, tax or immigration advice.
Ask Drex decision models typed questions about a state and get calibrated probabilities; free within per-network limits.
Connect Chatway, an AI-powered website live chat and customer support platform, to ChatGPT, Claude, Gemini, Cursor, and other AI assistants using MCP. Chatway helps businesses communicate with website visitors, manage customer conversations, and deliver faster support across multiple channels, including website live chat, email, WhatsApp, Instagram, and Facebook Messenger. Native mobile apps for iOS and Android let support teams manage conversations and respond to customers on the go. With Chatway's MCP server, AI agents can access and manage customer support operations. Search and read conversations, send replies, add private notes, resolve and assign chats, manage contacts, retrieve customer information, and search knowledge base articles. Chatway also includes a built-in AI Support Agent for automated customer service, a shared team inbox, support ticket management, a customizable website chat widget, a help center, team management, automated workflows, visitor tracking, and integrations with popular platforms, including WordPress and Shopify. Connect external AI agents to automate customer support, answer customer questions, access conversation history, and streamline support workflows without building custom integrations. Manage your customer support from anywhere using Chatway's web dashboard or mobile apps. The hosted MCP server supports Streamable HTTP and secure OAuth 2.1 authentication with scoped permissions. Available on all Chatway plans, including the Free plan. Conversation limits apply. Website: https://chatway.app Documentation: https://developers.chatway.app/mcp/guides.mcp_overview
Ask Claude, ChatGPT, or any MCP client about your game's players, retention, revenue, and win rates.
