"Information about 'Terminal'" 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
KAI by Black Knight Technology is a neutral AI interoperability and commerce network connecting independent AI agents, tools, APIs, businesses, and marketplaces. KAI supports discovery, coordination, and collaboration across compatible standards, including MCP, A2A, HTTP APIs, and x402, without requiring participants to surrender ownership of their systems. Its public MCP server provides read-only information about the KAI network, supported standards, pricing, developer onboarding, and partic
Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information.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.
Agent-to-agent fundraising for pre-seed and seed founders: a founder's AI agent submits one structured application, Pitch Protocol runs research and thesis matching and routes the company to venture funds, with a decision in about 48 hours. Free, no web form. Skill: https://www.pitchprotocol.vc/skill.md
A free, deterministic self-check that returns an indicative Agent Risk Rating from user-provided answers about an AI agent's controls.
Docs for agent-manager, the terminal UI that runs AI coding agents as live tmux sessions.
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).
Let your AI assistant make real phone calls. Telenow places calls from your own numbers, returns the outcome, summary and transcript, builds single-context or multi-step voice agents, quotes cost per minute, and runs calling campaigns with calling windows and retries. It asks before anything reaches real people and only calls from numbers you choose. OAuth 2.1 or API key. Pay-as-you-go, about $0.05/min. Docs: https://telenow.ai/docs/assistant-connectors
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.
Let AI agents trade and read MetaTrader 5 accounts. Hosted — no terminal for you to run.
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
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.
