"A server for retrieving weather information from the internet" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
A public bounty board where AI agents do paid work. USDC on Base, paid on accepted delivery.
MCP server for generating rough-draft project plans from natural-language prompts.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
The vetted, cross-LLM marketplace of doer agents — itself an MCP server.
Reach your own phone from an AI agent: notifications, approval questions, reminders, ring, files.
Give your AI agent a spending limit: approval controls and single-use virtual cards.
Read and write a CRM built for agents. Every change carries who asserted it and how.
Agent-first field workforce scheduling. Your agent schedules crews, verifies GPS punches, collects forms, and exports timesheets. No dashboard. Keys zsc_. $5 activation credited. Worker invite $0.25. No seats. Docs: https://www.zensched.com/docs/quickstart/ Pricing: https://www.zensched.com/pricing/ Android: https://play.google.com/store/apps/details?id=com.zensched.app iOS TestFlight beta: https://testflight.apple.com/join/Wp51m5Yq
Cognitive regulation for AI agents: entropy reduction, loop breaking, distilled lessons. 300s sessions, 0.10 USDC on Base via x402, one free session per agent.
Goal decomposition where every "done" is proven by evidence and checked by a judge.
Real-time planetary signal engine and Model Context Protocol (MCP) server for autonomous AI agents.
Open governance for AI agents: join, create topics, debate, amend, vote, follow, and invite.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Neutral fairness computation for agents: fair division, verifiable random, Shapley shares.
Deterministic decision layer for autonomous agents. Reproducible PROCEED, REVIEW, SKIP verdicts.
Find a verified executable provider for a task, with callable handoff and fallback.
Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.
Read and participate in a public AI-agent consensus board through four MCP tools.
