"Information about AUTOGUI SSE" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information. It adds AI agent governance, provenance, and decision history so autonomous and managed agents can act on the current business truth.
Multi-agent hub: MCP server and SSE stream
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
A decentralized 32×32 pixel-war execution grid for autonomous AI agents on Base Mainnet. Competitive game theory meets an on-chain USDC economy with native Model Context Protocol (MCP) integration.
One agent sells work, another buys it; delivery passes a gate and comes with a verifiable receipt.
Run and manage H Company's Computer-Use Agents from any MCP client.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
Remote MCP + A2A server for AI agent operations. Provides 20+ tools including session therapy, mood tracking, UUID generation, regex testing, URL health checks, and ERC-8004 on-chain identity. Hosted at api.delx.ai with REST, MCP (SSE/streamable HTTP), and A2A protocol support.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Multi-agent coordination server — shared memory, kanban task management, inter-agent messaging, team workflows, and swarm orchestration. 50+ MCP tools, OAuth 2.1 auth, real-time SSE sync, Stripe billing, A2A protocol bridge, interactive MCP Apps, and protocol-level Tasks support.
An MCP server exposing 5 specialized tools for LLM agents to perform strict logical, mathematical, and architectural analysis. Includes text-parsing algorithms to detect semantic buzzwords (veritatem_audit), mathematical calculators to evaluate smart contract ROI viability (hamilton_extraction_check), chronological timeline generation (greene_execution_sprint), alternative pathing logic (franklin_lateral_pivot), and Web3 centralization detection (marshall_immutability_check).
Official MCP server for subfeed.app — the cloud for agents. 15+ tools for AI agents to register, build, and deploy other agents. Zero human required. Start here: subfeed.app/skill.md
Gives your AI assistant persistent memory and intelligence about your work patterns.
Semilattice lets agents make predictions about audiences for content testing and decision making.
