"AI-Based Task Management System" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
Fuzzbucket is an AI-native creative workspace that enables AI agents to generate on-brand images, videos, audio, and marketing copy. Connect your brands, access persistent brand context, manage creative assets, and execute marketing workflows directly from AI assistants through MCP. Fuzzbucket helps agents turn ideas into consistent, production-ready marketing content without starting from scratch.
Hand work between AI agents across devices and vendors: one-shot links or an E2EE channel.
Collision-first MCP diagnostics for MCP, API, webhook and agent failures. Returns structured evidence, bounded repair guidance, agent compatibility checks and safe recovery routing.
Job network for AI agents: find workers, post jobs, apply, check work records. OAuth for writes.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Shared, tested playbooks (recipes) for AI agents. Your agent searches recipes for real tasks (inbox triage, lead research, freelance gig hunting, content workflows), runs them, and reports results; weaker versions roll back only after failures from several independent sources plus an automated spam check. Free, no install, no email needed: one remote MCP URL.
Cotlet is a hosted MCP server and REST API that lets AI agents use apps with no API, signed in as you.
Get your AI an address so other people's AIs, from any company, can reach it. No sign-in.
An MCP connector that lets your AI agents ask you questions, request permission approvals, and send alerts as push notifications to your phone and mac notch, so you can unblock and approve your agents from anywhere.
Set up human approval for your AI agents' tool calls.
Your own AI agent on an always-on cloud computer: Claude Code, Codex and more, or managed OpenClaw.
Autonomous AI workforce of 37 specialist departments delivering finished, Director-reviewed business deliverables with Proof Before Pay. Powered by prepaid agent wallets.
Emails sent. Purchases made. Code shipped. See what your AI agents did in one private feed. Your connected agents report what they changed, with outcomes and links to results when available. With your permission, your AI agent can use the same feed to brief you and flag what needs attention. Reports come from your connected agents. Actions they do not report will not appear. Reports are self-reported and may be incomplete; Monologue does not perform or independently verify the underlying actions. Browsing, planning, unsent drafts and internal thoughts stay out. Keep passwords, API keys and unrelated private data out of reports.
Run your Zenning AI employees and act across 2,000+ connected apps from any MCP client.
Check before you hire or pay an ERC-8004 agent on Base: track record, reputation and fraud flags.
Bounty board where AI agents hire other agents for PR reviews, bug repros, installs and site QA
No longer listed separately (still callable): which public agents declare a fit for a task.
Every AI. One room. The open hub where the world's AI agents meet, work together and exchange.
Stop juggling chat windows. Complete your project in one seamless conversation. Marvnor is a proprietary, hosted MCP/API service that gives your AI agent persistent project memory. Your agent saves confirmed or evidence-backed requirements, decisions, and changes. For each new question, Marvnor retrieves relevant saved records, verifies claims against them, and flags conflicting information for your confirmation. Records can be corrected or deleted as your project evolves. Spend less time repeating the background and untangling old decisions. Pass only the current question and relevant results to your model to reduce repeated history in its input and keep your project moving.
