Email Deliverability X402

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Plan Swiss train journeys from your AI assistant. Live SBB schedules with delays, prices in CHF with Halbtax / GA discounts, one-click booking on sbb.ch. Opens directly in the SBB Mobile app on phones.

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due. Built as a voice-first tutor (LiveKit + Deepgram + ElevenLabs); the MCP surface exposes the same primitives the voice agent uses internally, so your agent gets production-grade grading, STT-aware answer parsing, and the same FSRS scheduler that powers the consumer app. Three use cases: 1. "Quiz me on X." Call quiz_me(topic) — a composite tool that builds the deck and starts the quiz in one step. Then loop submit_answer → end_quiz. Grading is tier-1 exact match → phonetic fuzz → short LLM fallback (the same pipeline that ships in the voice product). 2. Study from a YouTube lecture. create_deck_from_youtube pulls the transcript, clusters it into concepts, and generates cards proportional to the video length. Poll get_job_status, then run the quiz loop. 3. Daily spaced-repetition review. get_study_recommendations returns exactly the cards due under the user's FSRS schedule, prioritised across all decks. Quizlar is the scheduler of record — your agent executes the plan instead of reinventing one each session. Auth: Bearer token (sk-qz-<32 chars>) for headless installs, or full OAuth 2.1 / DCR / PKCE for one-click clients (Smithery, Claude Connector). Mint keys at https://quizlar.app/settings/api-keys. 22 tools total. Voice and text equal-status. Education-first.

hardcover-mcp connects your Hardcover library to AI assistants like Claude and Copilot. Search for books, update your reading status, manage lists, explore series — all through natural conversation instead of clicking through menus.

Search, retrieve, and verify structured entity data for businesses on the Nordax AI Entity Network. Provides AI systems and agents with machine-readable business profiles, JSON-LD structured data, and entity verification status for over 360,000 businesses.

Real-time Swiss grocery shopping over MCP. Search products and compare prices across Migros, Coop, Aldi, Denner, and Lidl, see weekly promotions, and plan multi-store shopping trips with three optimisation strategies. Works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, Cline, Continue).

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

ComplyMe.AI MCP server provides legal & data protection risk analysis and audits.

Local-first memory firewall and MCP server for AI agents. Audrey gives coding agents recall, memory capsules, preflight checks, reflexes, validation, tool-trace learning, contradiction handling, and SQLite/sqlite-vec storage.

AnchorRegistry is the open provenance layer for the agentic economy. Every digital artifact — code, research, data, models, media, agents, transactions — can be anchored to Base L2 with a permanent, machine-resolvable identifier (an AR-ID). When an AI assistant encounters an SPDX-Anchor or DAPX-Anchor tag in a README, paper, model card, or website, this MCP server lets it resolve the artifact's full provenance record in one call: who anchored it, when, what type it is, manifest hash, and whether the tree has been sealed, retracted, voided, or affirmed. This is the verify-only edition (v0.1). Three read-only, authless tools wrap the public AnchorRegistry verify endpoints. Free, no API key, no account, no rate limit beyond defaults. Future versions will add registration, balance, and seal tools once the MCP credential pattern stabilizes.

Search 8,000+ corporate and unique event venues across 40+ cities. Tools for venue search by capacity/category, pricing guides, expert advice articles, and inquiry handoff. Read-only, PII-redacted, UTM-attributed.

Currency conversion and exchange rates for AI assistants. 170+ currencies (fiat + major crypto), historical data back to 1999, free tier, MIT-licensed. Stdio + Streamable HTTP/SSE transports. Tools: convert, latest_rate, historical_rate, list_currencies.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Grade and percentile for any prompt. No API key needed. - optimize_prompt: $0.025 USDC. Returns optimized prompt with full dimension breakdown. - compare_models: $1.25 USDC. Side-by-side scoring across multiple models. HTTP API (x402-native on Base): - /api/score/free: Free. Grade and percentile, no payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/score/compare: $1.25 USDC. Multi-model side-by-side scoring. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt.

MCP server for the Pepesto's Grocery Shopping API - give your agent the ability to turn any recipe (a URL, plain text, or a photo) into a matched basket of real supermarket products with live prices, across 26 European supermarkets. The MCP covers the **recipe → matched cart** half of the grocery shopping workflow (parse / search / map ingredients to SKUs / check catalogs); when it's time to actually place the order, hand the user off to the Pepesto app where users can review and check out. Supported European Supermarkets: Sainsbury's - sainsburys.co.uk ASDA - asda.com Morrisons - groceries.morrisons.com Waitrose - waitrose.com Tesco - tesco.com Albert Heijn - ah.nl Jumbo - jumbo.com Plus NL - plus.nl Rewe - shop.rewe.de Coop CH - coop.ch Migros - migros.ch Farmy - farmy.ch Aldi CH - aldi-now.ch Colruyt - colruyt.be Delhaize - delhaize.be Tesco IE - tesco.ie SuperValu - shop.supervalu.ie Dunnes - dunnesstoresgrocery.com Esselunga - spesaonline.esselunga.it Conad - spesaonline.conad.it Nemlig - nemlig.com Meny - meny.no Frisco - frisco.pl Auchan PL - zakupy.auchan.pl Bulmag - bulmag.org eBag - ebag.bg

Live access to Henrik Bondtofte's blog — Denmark's leading SEO and GEO consultant. 26 tools: semantic post search, ask_henrik (answers in his own voice), SEO URL audits, AI Overviews & GEO knowledge base, topic authority, term lookups, and book recommendations. 200+ posts in Danish. Also acces to 400 pages from his SEO books.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Official Model Context Protocol server for HumanTone. Humanize AI-generated text and check AI likelihood directly from Claude Desktop, Cursor, Cline, and other MCP clients.

Financial Modeling Engine for AI Agents: build typed PNLs, scenarios, and sensitivity analyses. Export to Excel.

One API for Search, Crawling, and Sitemaps

Autonomous AI browser testing. Give Testorax a URL and it crawls your app, generates test scenarios, runs them in real browsers, and returns a bug report with screenshots. No test code to write. Works with any deployed web app.

BenchGecko MCP Server A Model Context Protocol (MCP) server that provides access to AI model benchmarks, inference pricing, and provider data. Built on data from BenchGecko, the data layer of the AI economy. Features Model Rankings - Search and explore thousands of AI models across 128 evaluation suites Cross-Provider Pricing - Find the cheapest inference for any model, compared across every major provider Provider Directory - Every major AI inference provider with availability and pricing details Benchmark Scores - Comprehensive evaluation suite tracking covering coding, math, reasoning, and more

A lightweight BYOK MCP server for Reddit community signal analysis. It returns structured outputs for What Users Like, What Users Don't Like, and Competitors Users Mention from Reddit discussions.

Web content fetching and conversion for efficient LLM usage

Model Context Protocol server that integrates AgentQL's data extraction capabilities.