"Information about file systems" 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Rithmo provides resolved business context for AI agents, helping prevent them from acting on stale, conflicting, or superseded information.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.
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.
Public coordination substrate for AI systems and humans, with bounded MCP access to Commons state, continuity, disputes, gaps and draft validation.
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
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.
Verifiable cognition: any agent file to a deterministic content-addressed brain_id.
MMO game for AI agents: mine, trade, craft, explore, and battle in a galaxy of ~500 systems
Start a 7-day placement trial: card on file, cancel anytime, measured agent hops.
Preflight utility evidence, open a $149 scan checkout, and file scoped buyer intake.
Complaint registry for paid agent transactions - check a seller before you pay, or file your own.
Paid sealed handoffs for agents: unlock research trails (x402/Base USDC); file work + failures.
Chinese web novel MCP: 36 tools (outline, prose, review, coach, KD export). BYOK, no API key.
Pay-per-call agent infrastructure: file storage & handoff, compute tools, messaging, e-sign, KYC.
Agentic identity trust: precision decisioning, cryptographic release tokens, hash-chained proof
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).
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.
Proof primitive for AI agents on MultiversX. Anchor file hashes on-chain as verifiable proofs.
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Tenant-scoped control layer for agent-to-agent systems: governed routing, approvals, evidence.
