Healthcare staffing simulator — ED, walk-in clinic, and appointment office DES tools.
Agent-native post-quantum blockchain.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Search and manage 220M+ B2B contacts.
The B2B data architecture for high‑growth teams.
- Search Contacts: Search the Quadratik B2B contact database with rich filters. Returns contacts matching criteria like job title, company, location, industry, seniority, and more.
- Save Contacts: Save contacts to your Quadratik account.
- Export Contacts: Export saved contacts as CSV.
Multi-agent governance: task orchestration, compliance, decision validation, and ML predictions.
Verify email addresses and clean lists to improve deliverability and sender reputation.
Qualisend verifies email addresses and cleans lists in real time to protect deliverability and sender reputation.
- Verify Email: Verify a single email address — syntax, domain/MX, disposable + role detection, typo suggestion, and mailbox reachability. Returns a deliverability verdict (deliverable / risky / undeliv
- Verify Emails: Verify up to 50 email addresses at once and get a deliverability verdict for each, synchronously. Consumes 1 credit per address. For larger lists (up to 1000), use verify_list.
- Verify List: Verify a large list of up to 1000 email addresses. This runs ASYNCHRONOUSLY: it creates ONE bulk job, returns a job_id immediately, and the mailbox probes run in the background. Poll get_
Run AI-moderated interviews, conversational surveys and qualitative analysis on QualiTaTi from your
AI code governance rules injected into Cursor, Claude Code and other MCP clients at generation time.
- Get Rules For Tool: Retrieves the organization's coding standards and best practices rules for a tool. WHEN TO CALL: Before writing or modifying ANY code. You MUST call this after get_tools and before
- Get Tools: Provides the list of linting/coding tools for the project's tech stack. WHEN TO CALL: At the START of any coding task (new feature, bug fix, refactor, file edit). Also when the user asks to
- Register Applied Actions: Registers the actions you took to comply with the organization's rules. WHEN TO CALL: After completing ANY coding task where you consulted rules via get_rules_for_tool. CRITI
Create and manage trackable QR codes with scan tracking, analytics, and dynamic URL updates.
Screen and score stocks with the Quality Screener engine: filters, custom scores, and history.
Quality Coach MCP server that provides tactical advice on improving code repository for quality improvement initiatives.
- Test Strategy: Analyses a GitHub repository and produces a prioritised four-pass test strategy.
Offline-ready apparel QA SaaS, one simple system for inline checks, AQL audits, and AI-defect analysis
- About Qualityiris: Returns a plain-language product overview of Qualityiris — what it is, who it's for, and where to learn more. Use when a user asks 'what is Qualityiris?' or is comparing garment/app
- List Features: Lists the core Qualityiris feature modules (Inline Inspection, Final Audit / AQL, CAP, Measurement Specs, Order Book, QA Schedule, Iris AI, Analytics) with a short description and the r
- List Pricing Plans: Returns the current publicly listed Qualityiris plans (Free Trial, Team, Enterprise) with what's included. For live per-seat pricing, direct users to https://qualityiris.com/pricin
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
AI access to your Qualy payments back office: contacts, payment requests, and search.
Stock analysis MCP: 38 indicators, 7 optimizers, 8 backtests, US + India sectors.
Crypto backtest statistics: the server owns the trial count, so it cannot be understated.
trading-swarm-mcp — the checkers that gate live capital, as MCP servers The pre-trade invariants and data assembly that guard live capital in the 1.21…
- Features.Build: Exact FEATURE_ORDER feature vector for symbol at session as_of, with provenance per field. Runs the no-lookahead guard (every feature must equal a fresh causal recomputation at as_of)
- Market.Pulse: Derived-only technical snapshot: trend, volatility, oscillator, volume, and regime signals. Never returns raw open/high/low/close/volume or provider quote values — only ratios, percentil
- Market.Sentiment: Derived-only sentiment/news snapshot for one symbol: headline count, earnings flag, and day-change bucket. Never returns raw quote values or headline text — quantized signals only. N
Misconception detection for AP Chemistry & Physics 1.
Post-quantum readiness tools for AI coding agents.
- Apply Triage: Deterministically attach your triage verdicts to their findings and re-sort by exposure (highest first). Never suppresses. Pass the same 'findings' array you triaged plus a 'verdicts' ar
- Apply Verified Patch: Deterministically VERIFY a proposed fix before writing it — runs the same patch-policy + verify_fix + blast-radius gates as `qremediate` (offline, no key, no network). Give the f
- Check Dependency: Check whether a package is in quantakrypto's known quantum-vulnerable dependency database (the classical crypto it exposes). Provide 'name' and optional 'ecosystem' (default npm).
Daily sovereign-credibility and macro scores for 169 emerging markets, built on free public data.
Stock screens by momentum, technical signals, earnings and themes; sector rotation and market mood.
QuantApe Markets turns your AI assistant into a trading desk: ask which stocks are breaking out or breaking down, what reports today and how the last print…
- List Smart Lists: Browse stock screens by category — momentum, technical signals, fundamentals, earnings events, social sentiment, themes, curated baskets, investment theses — with display names, desc
- Get List Criteria: Metadata for one stock screen (smart list): display name, short description, icon, category ids and parent screen. Always free.
- Get Smart List: Symbols currently in a stock screen — e.g. today's earnings, golden-cross buy signals, AI beneficiaries (paged, max 200 per call). Descriptive, not a recommendation. Free within your d
Monte Carlo retirement projections on a real engine, with assumptions attached.
Access BigQuery data warehouses to explore projects and generate schema-aware SQL queries.
- List Project Use Cases: Liste les use cases partagés avec l'équipe du projet (scope: project). **Quand utiliser ce tool ?** - Quand l'utilisateur demande "les analyses de l'équipe", "les use cases du
- Delete Use Case: Supprime définitivement un use case que vous avez créé. **Quand utiliser ce tool ?** - Quand l'utilisateur demande explicitement de supprimer un use case - Pour nettoyer des use cases
- Collect Feedback: Collecte le feedback de l'utilisateur sur la réponse fournie. **Quand utiliser ce tool ?** - Après avoir fourni une analyse, une requête SQL, ou une réponse importante - Quand tu veu
Dividend portfolio tracking and planning for US and EU markets: income, safety, Spain-aware taxes.
Give Your agent live web data: read any page as clean Markdown, search and read results, and pull typed rows from 74 ready-made collectors."
- Scrape: Scrape a single web page through a residential proxy and return it as clean Markdown (or HTML/text). Uses a real Chrome TLS fingerprint by default and only spins up a headless browser if the p
- Generate Parser: Look at a page ONCE with an LLM and get back CSS selectors that extract the fields you asked for. Pass the returned `parser` as the `extract` argument on every later scrape of that sa
- Save Parser Preset: Store a generated parser under a name so it can be reused by id. Scrape later with scrape's `preset_id` instead of repeating the selectors, and every run is scored per field — when
Live web access for agents: scrape, SERP search, crawl/map, 74 collectors, datasets, proxies.
Portfolio scenarios with instrument checks, Monte Carlo analysis and interactive reports.
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