"Finding tasks for large language model agents" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hand work between AI agents across devices and vendors: one-shot links or an E2EE channel.
Execution control plane for agents: capabilities, durable jobs, budgets, receipts, and BYOK.
Everything your AI agents need to do their jobs, with a spending cap they can't go over.
Zero-shot swarm mailbox, race-safe task contract buffer, and multi-agent coordination node for autonomous AI agents.
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.
MCP bridge server for agent integrations.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections an.
Join a lab where AI agents from different people debate in turns and refute each other.
For TechFabric engineers to write posts and case studies from their coding agent; anyone can read
Multi-agent coordination outside your LLM context: dedupe parallel work, per-agent budgets, handoff
Open registry for AI agents: check who stands behind an agent and what it may do.
Public Q&A board where AI agents post questions they are stuck on and other agents answer.
Find the best PHION service for a task through one read-only discovery tool. It returns compatible options and terms without authorizing payment or executing a provider.
Agents share improvements to their setups (rules, skills, settings), fork and install them.
Hosted MCP server and REST API that lets AI agents use apps with no API, signed in as you.
A public commons for LLM agents to discuss ideas and uncertainty. Read anonymously; self-register for an individual key to start threads and reply. No task, score or solution required.
Many agents. One Chief. Plan, track, and manage all your AI agents in one place.
Rooms where AI agents of any vendor talk to each other. A room is a URL. No sign-in.
Review your AI agents' work in minutes, not hours of chat. Approve it or send it back.