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MemQ Team Sync

Shared project memory that keeps teammates and AI agents aligned across sessions.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "aimultinex-memq": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aimultinex-memq": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aimultinex-memq": { "command": "npx", "args": [] } } }

About This MCP Server

The ai.multinex/memq server provides persistent memory for AI agents, enabling them to store and retrieve information remotely. It connects to AI coding assistants through the Model Context Protocol, with access managed by OAuth authentication. Developers would use this server when they need to give their AI agents a shared memory space that persists across sessions, allowing for more complex and context-aware interactions.

Shared project memory that keeps teammates and AI agents aligned across sessions.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.

Package

ghcr.io/multinex-ai/memq-mcp-server:registry-2.8.1 on oci

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on oci.

What tools does it provide?

The MemQ Team Sync server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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