"A server for exploring GrydFlo Memory Matrix" matching MCP servers:

Enables interaction with Matrix homeservers through the Model Context Protocol, providing tools for room management, messaging, user profiles, and search capabilities.

Bridges Matrix chat rooms to CodeBuddy Code sessions, enabling message exchange, permission approvals, and media downloads through the MCP protocol.

Bridges a Matrix room with Claude Code's claude/channel feature, enabling chat from Matrix to interact with a running Claude Code session.

Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.

Runs locally over stdio to read MSS54HP DME BIN images and Testo/TUNER drive logs, then proposes VE map and rf_korr corrections with evidence for each cell. Also reports what is in a BIN, whether its checksums are right, and why log samples were discarded.

Enables AI assistants to perform marketing risk inspection, sensitive-word detection, and anti-ban rewriting suggestions for content on platforms like Goofish, Xiaohongshu, and Reddit.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Standalone Matrix MCPL server that connects Matrix rooms and DMs to an MCPL host as a first-class channel surface, enabling real-time messaging, threads, typing indicators, attachments, and rollback via MCPL tools.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

A local MCP server that gives AI assistants persistent long-term memory using a biological neural architecture with cortex, synapses, and hippocampus.

Exposes local memory vaults as 6 MCP tools over stdio, enabling clients like Windsurf, Zed, and Claude Desktop to read and write memory.

Hosted memory for AI agents that learns from outcomes, with shared rooms. One key across Claude, Cursor & ChatGPT.

MCP server for persistent, semantic memory across AI sessions; store context, decisions, and learnings and recall them with natural language search.

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

A Model Context Protocol server that enables Claude to persistently store, search, and manage text memories with tags in a local JSON file.

Enables agents to maintain persistent memory through three-tiered architecture: short-term session context with TTL, long-term user profiles and preferences, and searchable episodic event history with sentiment analysis. Provides comprehensive memory management for personalized AI interactions.

Personal memory MCP server for Claude Code with an Obsidian-style graph. Enables persistent, queryable memories across sessions using Markdown files with bidirectional wiki-links and a D3.js force-directed graph UI.

Enables AI agents to persist and share durable memory — appending session logs with checkpoints and handoffs, claiming and completing tasks, and recording decision records — all stored as plain Markdown and JSONL files in a git repository. Everything written is full-text searchable, and the server speaks MCP so MCP-aware clients can plug in directly with zero vendor lock-in.

An advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad storage. It also enables context compression through history rollups and facilitates inter-agent communication using a Redis-based Pub/Sub system.

Shared, live team memory for Claude — a remote MCP server on Cloudflare Workers + D1.