MCP SERVER
MoteCloud Memory
# Motecloud Memory MCP Motecloud is durable memory infrastructure for AI agents. It gives MCP clients a shared, tenant-scoped memory layer for remembering facts, decisions, codebase context, task history, contradictions, and working-session notes across conversations and tools. Use Motecloud when your agent needs more than chat history: long-lived graph memory, hybrid semantic search, task context priming, real-time session capture, and safe memory writes with OAuth-based access control. ## What It Provides - Persistent graph memory for agents and teams - Ranked context preparation before a task - Hybrid lexical and semantic memory search - Working-memory sessions with append, flush, and close lifecycle - Durable fact ingestion with memory types and contradiction awareness - Skill-based tool loading so clients expose only the capabilities they need - OAuth 2.1 authentication with standard MCP Streamable HTTP transport ## Best For - Coding agents that need repo and task memory across sessions - Autonomous agents that need durable context instead of repeated re-discovery - Teams that want shared AI memory with tenant isolation - Workflows where decisions, findings, and reusable knowledge should survive beyond one chat ## Endpoint `https://motecloud.io/mcp`
What it provides
# Motecloud Memory MCP Motecloud is durable memory infrastructure for AI agents. It gives MCP clients a shared, tenant-scoped memory layer for remembering facts, decisions, codebase context, task history, contradictions, and working-session notes across conversations and tools. Use Motecloud when your agent needs more than chat history: long-lived graph memory, hybrid semantic search, task context priming, real-time session capture, and safe memory writes with OAuth-based access control. ## What It Provides - Persistent graph memory for agents and teams - Ranked context preparation before a task - Hybrid lexical and semantic memory search - Working-memory sessions with append, flush, and close lifecycle - Durable fact ingestion with memory types and contradiction awareness - Skill-based tool loading so clients expose only the capabilities they need - OAuth 2.1 authentication with standard MCP Streamable HTTP transport ## Best For - Coding agents that need repo and task memory across sessions - Autonomous agents that need durable context instead of repeated re-discovery - Teams that want shared AI memory with tenant isolation - Workflows where decisions, findings, and reusable knowledge should survive beyond one chat ## Endpoint `https://motecloud.io/mcp`
Connect through MCP
Attach the server under an Agent’s MCP servers configuration and inspect its advertised tools before use.
Production fit
SandBase keeps the capability alongside the model, runtime and execution trace so the workflow remains reviewable.