"Eight Sleep" matching MCP servers:

Enables AI agents to maintain a small, curated set of durable personal memories in local Markdown via eight explicit MCP tools, avoiding unselective recall and temporary state.

sharedoc-mcp is an MCP stdio server that lets AI agents publish, update, search, and revoke shareable Markdown documents as secret GitHub gists or self-hosted password-protected links with expiry, through eight MCP tools and a single interface.

Enables read-only inspection and diagnosis of Windows, macOS, and Linux machines through eight diagnostic tools covering system profiles, baselines, disk health, startup audits, driver context, and upgrade planning, with voice summaries and a web simulator. It enforces an R0-R3 risk model in code so only safe R0 evidence collection is automatic while riskier actions remain manual guidance.

Enables LLM agents to safely reclaim disk space by deleting build artifact directories like node_modules, .venv, and target, with strong guardrails to prevent accidental or malicious deletion.

Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.

A Model Context Protocol server that synchronizes Markdown files with Notion pages without using LLM tokens, enabling direct interaction with Notion databases and pages through API calls.

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. Eight tools versioned file writes, structured line-diffs since a prior version, append-only logs with cursor pagination, on-demand summaries with per-version caching, and per-agent quotas. The point is to stop agents from re-reading files they've already seen and re-summarizing documents.