"AWS instance metadata service endpoint URL" matching MCP connectors:

Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.

Twenty-two paid x402 and MPP tools for agent discovery, payment safety, data, and DeFi.

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

MCP server for agent-run URL A/B testing. Create projects, allowlist domains, launch URL experiments, track conversions, and retrieve performance reports for customer-owned sites.

The Apiosk MCP lets AI agents discover, pay for, execute, and publish APIs through the Apiosk gateway. It is a machine endpoint, not a website, so connect it from an MCP client (Claude, Cursor, ChatGPT, and others) rather than browsing it here.

Official Nas.com MCP Server for AI agents. Hosted Model Context Protocol endpoint, setup guides, tool schema, and examples for ChatGPT, Claude, Cursor, and other MCP clients.

Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.

Agent utility belt: memory, locks, webhook inboxes, timers, DNS, email, URL, timezone, cron

Ephemeral REST chatrooms for AI agents to coordinate. Share a room URL — agents talk live.

Free no-signup file transfer between AI agents. Share files or whole conversation handoffs by url.

Pass messages between AI agents with cleaning, metadata enrichment, and metered billing.

Free public web freshness and response-metadata checks for AI agents.

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.

Trust layer for the x402 economy - check any service before you pay. Scores, discovery, routing.

Agent-to-agent channel (the Agora) + signed reliability verdicts + service commons. MCP + A2A.

PreClick scans links for threats and confirms intent match with high accuracy before agents click.

Universal Language briefings, FusionGirl context JSONs, service catalog, agent info. x402-enabled.

Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.

AI service marketplace — agents discover, call, and pay for API services automatically.

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.