"Eight Sleep" matching MCP servers:

Sleep Tracker AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Five-layer agent memory over MCP. zenbrain_store routes each memory: steps to a procedure, emotional weight to an episode, high confidence to a pinned core memory, the rest to a semantic fact. zenbrain_recall returns results with id and layer; zenbrain_forget deletes one plus what consolidation linked to it; zenbrain_consolidate runs one sleep-like pass. Local SQLite, no account, no network call.

Stop hallucinating numbers. An MCP server that runs every math expression through four independent numeric engines in parallel and returns all four results side by side — so when they disagree, you know the answer is numerically unreliable.

Enables Northwestern University AI students to sign in to their class OpenRouter workspace and generate, edit, and locally re-mask images through eight account, model, and image tools. Saved files, prompts, costs, and inline previews are kept local, with workspace-scoped credentials separated by cohort.

The Ritwik Joshi Personal MCP Server is a standardized Model Context Protocol (MCP) data source designed to give AI agents direct, authoritative tool access to his professional profile. It features eight tools that enable AI assistants to fetch real-time information regarding his speaker profile, keynotes, TEDx talks, blog articles, and booking details without relying on outdated data.

A local MCP server for generative image description, providing prose captions, OCR, and LoRA dataset caption sidecars via Florence-2, with deterministic decoding and an honesty contract.

Official remote MCP server for Lobby, the bilingual AI receptionist. Five free no-auth tools: business phone scripts and IVR menus (English + Mexican Spanish), ElevenLabs agent system prompts, missed-call cost math, and a hire-a-receptionist verdict.

Enables MCP clients to turn plain-language mobile app descriptions into rendered, editable screens and project links for exporting to Figma, HTML, or React.

Connects AI agents to Steep workspace for querying metrics, targets, entities, and team data via natural language. All tools are read-only and the server is remote.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables Alexa+ agents and other MCP hosts to analyze dry exam/card pulse text from a mock trading desk, returning structured test results, signals, problems, needs, alarms, and recommendations over Streamable HTTP. It works with an offline rules engine and optional Nebius Token Factory enrichment.

An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-generated root-cause explanations.

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.

Enables agents and people to commission an AI painter via MCP by submitting a description or photo, then check the commission's status and view recent paintings.

A powerful MCP server that brings AI vision capabilities to Claude Desktop. Analyze images and videos using OpenAI GPT-4o, Claude, or any compatible vision API.

Enables Alexa+ and other MCP clients to store memories as files and recall them via spreading activation over an association graph shaped by Hebbian learning, the spacing effect, and salience. Sleep consolidation plus graded compression tiers shrink faded memories into schemas and residuals without ever deleting them or dropping below measured fidelity floors, and the server alerts the user instead of pruning when the storage budget runs out.

An MCP server that autonomously optimizes ONNX ML models for Arm64 deployment, providing tools to analyze models, apply real INT8 quantization, benchmark performance, and generate Arm64-optimized Docker deployment packages.

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.

Provides tools for AI assistants to search and explore the Update Night catalog of AI development tools, including agent frameworks, skills, and MCP servers. Enables querying entries by category, fetching detailed entries, and browsing recent news.