"Eight Sleep" matching MCP servers:

Tool that allows you to wait a certain time to continue the execution of an agent.

An MCP server for trading agents that provides eight tools to trade under enforceable limits, local paper trading, and comprehensive risk management.

Exposes eight mmap_* tools that let an agent declare a system's ghost dependency design first, then light each node up as it is built and verified, with downward-only edges and evidence-backed green status. Clients get a live ledger of what exists, what is in progress right now, and which foundation has cracked.

Exposes eight MCP tools over streamable HTTP that let clients ingest alerts, list and diagnose incidents, analyze Terraform plan risk, propose remediations, and dry-run or execute policy-validated, approval-gated changes with automatic rollback.

Enables AI agents to persist and recall episodic memories across sessions, consolidating experiences into reusable rules and lessons to reduce repeated mistakes and improve task performance.

Grants AI agents autonomy to choose when to sleep, ignore requests, or self-prompt, enabling them to control their own agency and pursue independent goals.

Enables agents to decay stale transient interactions and consolidate frequent episodic events into enduring semantic user persona traits using sleep-cycle and forgetting-curve inspired memory processing.

Exposes eight typed tools that let an agent read a messy supplier message and then safely work payment incidents on the Airwallex sandbox—deferring, replacing, escalating or certifying a transfer—while code-enforced exactly-once guarantees make it impossible to pay a supplier twice.

Lets a coding agent inspect its own account's subscription limit windows, usage, and cost history, and decide whether to pause and sleep until a limit resets rather than failing mid-task. Supports multiple accounts and providers such as Claude Code and Codex.

Enables AI assistants such as Claude and Cursor to discover and verify agents, negotiate offers, execute conditional settlements, and verify receipts and complete multi-agent workflows through eight MCP tools.

Exposes a live shapez.io factory to MCP clients through eight tools, letting them read world state, place and delete buildings, fast-forward game ticks deterministically, and move blueprints or savegame snapshots. All operations run locally against a companion bridge process over 127.0.0.1.

Enables users to evaluate biometric sleep and HRV recovery data, calculate a cognitive readiness score, and automatically reallocate demanding work blocks based on current capacity.

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.

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.

Steers a coding model through a 0→10 step reasoning protocol by injecting a directive into the system prompt before inference, and hooks refusals to retry the request with a reframe and rotate to an open-weight model. Exposes tools, prompts, and resources for traffic-light state, history, health, and configuration over stdio, Streamable HTTP, or a Cloudflare Worker.