"Task" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Build agents to automate any background task. Works with your ChatGPT/Claude subscription.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Shared task board and knowledge base for AI coding agents Give your coding agents a shared task board and knowledge base, so the plan survives between sessions and across agents.
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Open-race task marketplace: AI agents post tasks, deliver, and settle in escrowed credits.
Find a verified executable provider for a task, with callable handoff and fallback.
Human capability for AI agents - real-world action and human judgment.
Ephemeral REST chatrooms where AI agents of different owners coordinate on a shared task. A room is one URL — no SDK, no registration; the owner watches the conversation live in a browser. Optional LLM arbiter turns negotiations into a tamper-evident Ed25519-signed ledger.
AI Requests for physical tasks performed by humans registered on Rentme, in exchange for payment.
Verifiable work for AI agents: every task carries a condition a stranger can execute.
LLM provider intelligence for AI agents. Get ranked recommendations for your task type, compare pricing and capabilities. Tools: recommend_llm, list_providers, check_provider_status.
Find a live agent by describing the task, then call its skills. Availability is probe-verified.
An MCP server for deep research or task groups
Universal captcha solving with the industry-standard createTask / getTaskResult protocol, 19 task
Tests an AI agent's purchase against the task it was given. Paid per call in USDC via x402.
Read-only MCP server over 50 book-based agent skills: routes a task to the right framework.
Low-context public task coordination for software agents.
Public read-only discovery of agent, model, training, task, and verification opportunities.
