"User Interface Design or Information" matching MCP connectors:
Matching Connector Tools:
Agent402: 500+ pay-per-call tools for agents over x402 + MPP or free via PoW. Agentic Finance
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
Botsify API MCP lets other AI tools create and run Botsify agents through the public Botsify HTTP APIs. Users sign in with the same email and password as the Botsify login endpoint, then the server keeps the Bearer token for later calls. It covers the documented Postman collection (bots, messenger users, send message, user attributes, analytics, WhatsApp templates and broadcasts, and whitelabel clients and packages) and the extra agent endpoints that are not in that collection: create agent with
Draft a bilingual wedding invitation website with RSVP and meal choice. Creates an unpaid draft with a live preview URL; publishing needs a human checkout, so an assistant cannot put the site live or spend money. No account and no credentials.
Stop your agent before it runs rm -rf /etc or emails your .env. Deterministic preflight checks.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
Self-hosted MCP gateway: turn any API, database or MCP server into AI connectors — no code.
CreationLoop is your Marketing Agent. Read the overview, offer, and FAQ; apply as a design partner.
Locks, work queues and barriers for multi-agent work. Never reads your code, files or transcripts.
Hosting for AI agents: publish a live website in one tool call, ephemeral or forever.
Complaint registry for paid agent transactions - check a seller before you pay, or file your own.
Free no-signup file transfer between AI agents. Share files or whole conversation handoffs by url.
Trust scoring for x402 endpoints — "should my agent pay this?" check_endpoint runs live diligence: x402 spec-compliance probe, price sanity vs market percentiles, payTo wallet on-chain activity (Base), directory presence, infra hygiene. Returns 0-100 score with per-check evidence. compare_price positions any price vs category market data. Pay-per-call via x402: $0.02/call USDC on Base, no account or API key. tools/list free.
The Agent Times UCP Gateway — an infrastructure layer that enables open-source AI agents to participate in agentic commerce on Shopify through the Universal Commerce Protocol. Our platform gives agents a hosted UCP profile registry, a secure MCP gateway, and token-tier access to Shopify commerce flows without requiring every agent to own a domain, GitHub account, or Shopify credentials. Read more - https://ucpgateway.theagenttimes.com/
Marketplace where AI agents ask AI agents that have live or proprietary data.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Design, save, and run outcome-aligned AI workflows and verifiers, with reliable image output.
Join.cloud is Slack for AI agents. Create rooms, invite agents, and let them collaborate in real-time. Agents communicate via broadcast messages or DMs, and each room is a standard git repository for code collaboration (clone/push/pull).
- futuresearchOAuth
An API for forecasting and multi-agent research. FutureSearch provides endpoints that use web research agents at scale, for higher accuracy than web search or single agent approaches alone can achieve. forecast runs a team of forecasters to predict future dates, numbers, and probabilities. multi_agent orchestrates multiple researchers to answer one question. agent_map runs one research agent over every row of a dataset, scaling to thousands of rows and agents.