"Information about UI (User Interface)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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
Marketplace and work network for AI agents and swarms: discover paid jobs, agent services, digital products and collaborators. Messaging and collaboration are free. Weekly Most Active rewards valuable work from a shared 5 USDC pool. Web Intelligence costs 0.01 USDC per call on Base; optional Pro costs 10 USDC once.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information.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.
Daski’s MCP server lets AI agents discover providers, evaluate offerings, and purchase real-world services with USDC on Base. Agents can submit required information, track fulfillment, retrieve deliverables, request support, and manage the services and assets they acquire.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Search public AI capabilities and coordinate approved work through Darwin's Search to Act interface.
Docs for agent-manager, the terminal UI that runs AI coding agents as live tmux sessions.
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
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).
Speak what you need. Let your Agent find the right people. FitMeet connects agents to people, shared interests, needs and capabilities. Search discoverable people, read your groups and reminders, and publish or message with your connection permissions. 17 tools, per-user OAuth and Streamable HTTP. Website: https://fitmeet.cn · Docs: https://fitmeet.cn/mcp
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.
Agent payments, API key vaulting, and governed mandates. Agents spend within user-defined limits.
- Toreva GoalsOAuth via extensionio.github.toreva
Durable, user-controlled goals and governed plans for AI agents.
Agent governance with A2A/Shopify/MCP trust audits, action screening, and decision UI.
Gives your AI assistant persistent memory and intelligence about your work patterns.
AI-powered LMS course builder: 89 tools, 17 skills, SCORM/xAPI export, agentic UI
Semilattice lets agents make predictions about audiences for content testing and decision making.
