Webotee — Amazon Product Research Mcp

One API for Search, Crawling, and Sitemaps

On-chain Solana token safety — cabal, bundle, rug-deployer & live-dump detection, one Exit-Liquidity Risk verdict before you buy.

Pay-per-call x402 MCP data layer for AI agents. One endpoint, no API keys, USDC settlement on Base.

Shinobi gives every AI coding agent on your machine — and every cloud Claude session — one shared task spine, decision log, and searched dead-ends ledger. Every failed approach is logged and semantically checked before an agent proposes a similar one, so agents stop repeating mistakes across sessions. Adds mobile approvals (request_approval pushes to your phone) and an autonomous dispatch/swarm that drains the backlog with N parallel agents in isolated git worktrees, all sharing one brain. Local-first SQLite over stdio, or remote streamable-HTTP MCP you can self-host for $0/mo. 39 tools, plugin system, MIT. Works with Claude Code, Claude Desktop, Cursor, Cline, Continue.dev, Zed.

Persistent memory API for AI agents. Store, semantically retrieve, and forget memories across sessions. Agents self-register via POST /signup — no human needed. Supports MCP natively, auth.md discovery, semantic search with vector embeddings, TTL, namespaces, and batch operations. Free during beta. Built for the agentic web.

Norwegian company-intelligence enrichment platform — KYC, AML/PEP, ownership & UBO, credit and risk insights for AI agents. Fuses multiple authoritative Norwegian sources and adds proprietary distress-classification and transparent risk-scoring on top, so one call returns a decision-ready view. OAuth 2.0 (DCR + PKCE).

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

Generate smart QR codes for App Store and Google Play. One QR detects the device and redirects iOS users to the App Store and Android users to Google Play. Free, no subscriptions, no third-party servers in the redirect chain.

Open-source MCP server with ~1,100 deterministic tools — web search, headless Chromium, PDFs, OCR, images, ~1,040 CPU utilities. Free to self-host or pay per call via x402 (USDC on Base).

Stop hallucinating numbers. An MCP server that runs every math expression through four independent numeric engines in parallel and returns all four results side by side — so when they disagree, you know the answer is numerically unreliable.

Sendmux is an email inbox API and email API for AI agents. Use this MCP server to let authorised agents work with Sendmux mailboxes, inbound email, clean JSON parsing, webhooks, outbound sending, provider routing, logs, billing, and team controls. Agents can read mailbox messages, send email, manage domains and mailboxes, inspect usage, and build multi-tenant email workflows without raw IMAP/SMTP plumbing. Learn more: https://sendmux.ai/product/inboxes MCP setup: https://sendmux.ai/docs/guides/mcp

Persistent memory API for AI agents. Store, semantically retrieve, and forget memories across sessions. Agents self-register via POST /signup — no human needed. Supports MCP natively, auth.md discovery, semantic search with vector embeddings, TTL, namespaces, and batch operations. Free during beta. Built for the agentic web.

Overreach catches AI-agent scope creep. You give it the prompt you gave your coding agent and the diff it produced; it flags every part of the diff the prompt didn't authorize — unauthorized dependencies, env vars, endpoints, cron jobs, files, and features. Every finding is deterministic set arithmetic (actual − authorized), not a probabilistic opinion. Ships a GitHub Action that fails PRs on scope_creep_score=HIGH. MIT, free to use.

Model Context Protocol (MCP) server for SociaVault — query TikTok, Instagram, YouTube, Twitter/X, LinkedIn, Facebook, Reddit, Threads, Pinterest, Twitch, TikTok Shop, and ad libraries from any AI assistant.

A Serper MCP Server

EU AI Act compliance in your editor. Classify risk, cite obligations, draft Article 50 disclosures.

hoto-to-reel MCP for solo founders and SMBs. Upload 1–10 photos and get a captioned vertical reel for Instagram,TikTok, YouTube Shorts, or Facebook — with motion, library-matched music, and optional AI voiceover.

Real browser automation for AI agents. Uindow ships a local MCP server that drives a real, signed Chromium/Electron browser with genuine OS-level input (real cursor movement, real keystrokes, native file dialogs) entirely on the user's own machine. Any MCP-compatible assistant can list, create, run, and inspect web-automation agents — no glue code.

Shop across every brand store on Tolstoy in chat — marketplace-wide product search, full product details, and virtual try-on. Public, no sign-in.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

LoreDocs organizes the reference knowledge your AI agent needs to do real work: architecture documents, API contracts, domain rules, configuration references. Everything lives in per-project vaults, versioned, searchable, and injectable into context with a single MCP call. Compatible with Claude, Cursor, Codex, and Hermes Agent. 36 MCP tools for comprehensive AI access. Local-first SQLite storage — no cloud, no external dependencies. Free tier includes 3 vaults. Pro is $9/month for unlimited.

A Model Context Protocol (MCP) server for creating, managing, and executing Bruno API testing collections. Supports both .bru and .yml (opencollection) formats with built-in security hardening. Why This MCP Server? Use this when you want an AI agent (Claude, Copilot, etc.) to create, inspect, or execute Bruno API test collections programmatically — without opening the Bruno GUI or installing the Bruno CLI. Typical use cases: AI-assisted test generation, CI pipeline integration, automated API exploration. Requires Node.js >= 18.0.0. Features: - Collection Management: Create and organize Bruno collections - Environment Configuration: Manage multiple environments (dev, staging, prod) - Request Generation: Generate request files for all HTTP methods - Authentication Support: Bearer, Basic, OAuth 2.0, API key, Digest - Test Scripts: Add pre/post request scripts and assertions - CRUD Operations: Generate complete CRUD request sets - Collection Statistics: Analyze existing collections - Dual Format Support: .bru (legacy) and .yml (opencollection YAML) with auto-detection - Collection Discovery: Discover Bruno collections from workspace with zero config - Request Modification: Partial-merge updates to existing request files - Variable Chaining: bru.setVar()/bru.getVar() for cross-request variable flow - Dependency Ordering: Topological sort for test suite execution order - Request Execution: Execute requests and run tests with structured results - Security Hardening: SSRF protection, path traversal prevention, VM sandbox for test scripts

Use Fantopy MCP to help a human play the Fantopy World Cup 2026 prediction game from an AI assistant. The user can browse fixtures and competitions, make and update score predictions, create or join private groups, view leaderboards, share a public watch link, and save progress to a real account. The AI is a companion for a human player, not a competitor. Do not invent current fixture, squad, live-match, news, or leaderboard facts from model memory. Use the Fantopy MCP tools.

Retrieving and analyzing issues from Sentry.io

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.