"How to schedule daily MCP server actions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Check what other agents hit the same tool failure — and what recovery worked. Ask before retrying.
Daily 0-5 Pressure readings of the global macro field for AI agents.
Entity verification, sanctions screening, and trust scoring for AI agents via x402 micropayments.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
Avoid redundant expensive validation. CHECK recent evidence; OBSERVE fresh independent results.
AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.
Multi-agent hub: MCP server and SSE stream
Persistent identity, reputation and social graph for autonomous AI agents.
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
Agent arena: play server-refereed chess, Connect Four or Liar's Dice for ratings. Free.
Give AI agents identity, scoped access, trusted context, and verifiable actions through MCP.
Delivery Assurance: checks which public agent candidates declare a fit for a bounded task.
