"An MCP server for reading emails" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.
MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.
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.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
SimFuse is a travel eSIM storefront covering 200+ countries and regions. This connector lets an AI assistant plan a trip, compare live prices and open a checkout for eSIM data. Browsing needs no authentication. What it does: - plan-trip: give the stops (country code and days in each) and it compares one plan covering the whole route against one plan per country against a mix, on live prices, then flags the cheapest complete option and lists any country it cannot cover. - list-destinations: search every country and region SimFuse sells for, with the cheapest plan price per destination. - list-plans and get-plan: browse a destination's plan ladder, filter by data amount, validity and price, and inspect a single plan in detail. - get-plan-coverage: check every country a plan works in before buying. - create-checkout-session: open a checkout for the selected plans at frozen prices. Nothing is charged by that call; payment, completion and cancellation happen over the agentic HTTP API with the returned key. Good to know: prices come back in minor units of the currency you ask for, data allowances are in megabytes, and quotes are offers rather than reservations, so the charged total is computed at checkout. Operated by Qorinx OÜ. Buy directly at https://simfuse.app, agent documentation at https://simfuse.app/agent/.
Pre-trade token safety check for AI agents. Simulates a sell before you buy, then returns one low/medium/high/unknown verdict with the signals behind it: sellability, buy/sell tax, liquidity depth, pair age, same-ticker impersonation, owner powers from bytecode. Ethereum, BSC, Base, Solana. Fail-closed - a check that cannot run answers unknown, never low. Publishes its own measured error rate with the benchmark harness in the repo. Free, no signup, no API key, MIT.
Facebook & Instagram data for AI agents: pages, posts, groups, ads, Marketplace, profiles, reels.
Discover and pay for services from the Nevermined Catalog using a spend-capped budget.
Sourced privacy answers: how private an app is, tool picks, app swaps, de-Googling, breaches.
Chinese dictionary (124k entries), HSK levels, text segmentation and 195 grammar points.
Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade.
Check an A2A agent before you delegate, or an MCP server's measured conduct. Free, no key.
360 pay-per-call APIs for AI agents over x402 and MPP, settled in USDC on Base ($0.001-$0.25 a call, no account or API key). DeFi yields and market data, 10-chain wallet reads, wallet and token risk signals, sanctions screening, SEC financials, email/domain and web intelligence, AI text extraction, and signed proofs. Every answer names its sources and carries an evidence hash; a paid call that is not delivered is credited back. Built and run by UnyKorn LLC.
Technology intelligence feed for AI agents: tech stack, compliance, security.
A decision model for the calls that don't have a right answer. The better option, with a reason.
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
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.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
Design review for UI code and live pages: quick checks, 0-100 scored reviews, fixes as patches
Constitutional AI kernel with 13 MCP tools, 888_JUDGE verdict pipeline, and VAULT999 ledger.
