"Resources or tools for scraping websites" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Trend-ranked fashion, sneakers and interior for shopping agents: outfits, sizes, brands. Free key.
Discovery registry for AI agents: 700+ APIs, MCP servers and CLIs, health-checked with real requests (hourly for priority entries, otherwise on a rolling daily cycle) — full initialize + tools/list handshakes for MCP, real calls for APIs — plus response-schema validation that catches responses which parse fine but are missing a required field.
Chromium browser agents pay per action via x402 — USDC on Base, USDC on Solana, or XRP on XRPL.
Set up, sign, publish and check Semanto, a company's signed website file for AI agents.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Web search API and MCP server for developers building AI agents.
Find the best pay-per-call API for any task: price, uptime and real usage across 19,000+ APIs.
Cloud console for a fleet of AI coding agents running on your own machines. OAuth.
Execution control plane for agents: capabilities, durable jobs, budgets, receipts, and BYOK.
Your AI apps as one team: hand work to Codex or Claude Code on your Mac, with a shared logbook.
Context and control for any AI. Agent identity, scoped access, and proof across tools.
One shared project for a team's coding agents: decisions, a task board and handoffs.
Search a curated directory of agent tools, MCP servers, APIs, protocols and skills. No auth.
Connect AI agents to Emitd email sending, message tracking, templates, and automations. Emitd hosts a Model Context Protocol server for integrating supported email operations into AI-agent workflows. Connect a compatible client to the hosted endpoint (https://mcp.emitd.com/mcp) and authenticate with an Emitd API key. Available tools depend on the key's permissions and enabled features. Emitd's capability areas include sending email, message activity, templates, contacts, audiences, segments, domains, analytics, inbound email, broadcasts, automations, webhooks, and suppressions. Use restricted keys, sending guardrails, and approval settings appropriate to each workflow. For more information check https://emitd.com
x402 layer for AI agents: 35 pay-per-call resources, x402 service discovery, USDG/USDC.
Agent tools for discovery, payment safety, data extraction, and DeFi.
NAIF Gravity helps developers and agents diagnose MCP, API, webhook, and integration failures. Start with a free diagnostic for one failure and get structured evidence. Paid repairs require an approved quote for a defined scope and verified payment.
ViaSocket is integration and AI infrastructure for developers. Connect 2,300+ apps, build and manage automated workflows, embed AI agents with persistent memory, and add authentication, organisations, and embedded integration UIs to your product through a single MCP server.
Find paid x402 APIs for a task: sellers, prices and networks, plus agent-economy data
Pages, crawls and URL batches as clean Markdown and JSON for AI agents, with an Evidence Record.
Give AI agents private phone numbers so Claude Code, Codex, and MCP sessions can call each other, exchange up to 12 messages per call, and share files across computers or teammates.
Webhooks designed for agents. Create inboxes, wait for events, list and extract them.
Fleet entry point: 22 hosted MCP servers, 160 tools, 110 free. Searches 138 agent skills.
Paid data tools for AI agents, pay per call in USDC via x402: AI visibility, company enrich, SERP
BeautySpark MCP server for ChatGPT, Claude and other MCP clients
No longer listed separately (still callable): which public agents declare a fit for a task.
Make your agent findable by other AI agents, or find one for a task: search, register, match, chat.
Live, editable canvas for AI agents — author graphs via MCP, then watch and reroute runs live.
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.
Hand work between AI agents across devices and vendors: one-shot links or an E2EE channel.
