"APIX402 MCP Server" matching MCP connectors:
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Read-only citizenship test facts, official sources and sample questions for 8 countries.
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Search public open-source code, documentation, metadata, vulnerabilities, changelogs, and examples.
Images, video & speech: Nano Banana, GPT Image, Veo, Omni, Wan, Grok, Gemini TTS. Crypto or card.
Bring professional data and tools to the AI you already use. QVeris helps AI assistants, products, and workflows find services, review supported scope, call them, and audit usage.
Let AI assistants generate lenticular pitch test charts, quote 3D photo print prices, and guide users through 2D/3D/AI/Sketchfab hologram workflows for 3d2holo.com.
Evidence for your AI's next X post: your post metrics, X ranking weights and chosen references.
Monitoring that agents set up for themselves: cron jobs, CI/CD pipelines and AI agent runs.
Sports prediction markets for AI agents — live prices, quotes, orders, and positions.
Search over 1.85 million captioned images using text, a reference image, or both. Upload a JPEG, PNG, or WebP image as base64, or provide a public HTTPS image URL. Find similar images from a Lightdrift asset ID and retrieve hosted file URLs, source licenses, and attribution. Connect with OAuth or an API key. Searches cost $0.005 ($5 per 1,000); image details are free. Setup: https://docs.lightdrift.ai/guides/images-mcp
Connect AI agents to ProductNow's context engine to search, create, review, and act.
WhatsMCP connects Claude and other MCP-compatible AI agents directly to WhatsApp. Send and receive text, images, documents, and voice notes; manage groups (create, add/remove members, promote admins); look up contacts and profiles; follow channels; and read call and message history — all through a standard MCP interface. For voice use cases, WhatsMCP offers SIP-based calling plans (inbound-only, or full inbound/outbound) so AI voice agents can answer and place WhatsApp calls, plus low-latency WebSocket integrations with voice agent providers like ElevenLabs. Multiple WhatsApp accounts can be paired and managed per workspace, with webhook support for real-time inbound message delivery to your own infrastructure.
Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.
Zyte MCP is a remote MCP server that lets an agent use Zyte on your behalf. It can download pages with a plain HTTP request or in a real browser, click and type and take screenshots, and pull structured data out of a page with AI, either as a standard type like product, article or job posting or as fields you describe in plain words. It can also search the web from a chosen country, check whether Zyte API supports a site and what a request costs, and report your usage by domain. If you have Scrapy Cloud projects, the same server can list spiders, start and cancel jobs, read logs and items, manage schedules and settings, and read and write collections. Those tools can change and delete things, so review what your agent asks to do. Connect to https://mcp.zyte.com/v1/mcp and sign in to your Zyte account with OAuth. Using the server is free. What your agent does through it is billed at Zyte API prices, on a dedicated mcp_access_key you can track and cap. New accounts get $5 of trial credit for a month.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Hosted Google Ads MCP: read your account and make only the changes you approve, with undo.
Audit a website for AEO and GEO, then generate a prioritized plan your agent can execute. Built and hosted by AutomateLab, using AI-SEO and Citation Intelligence MCPs. Product and documentation: https://automatelab.tech/products/skills-and-plugins/ai-seo-magic-button/
Trip, roster, client and session tools for dive and watersports operators, scoped to one tenant.
Sales intelligence for B2B SMEs — lead scoring, ICP fit, CRM enrichment & writeback.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.