mcp-memory-keeper: MCP server for persistent context management in AI coding assistants

by mkreyman · MCP Server · ★ 133

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-memory-keeper

claude mcp add memory-keeper npx mcp-memory-keeper
npm install -g mcp-memory-keeper

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 77/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-assistantclaude-aiclaude-codecontext-managementcontext-persistencemcpmcp-serversqlite

Quick Facts

Stars133
Forks27
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77/100
Last Updated2026-09-03
Created2025-06-18
Platformsclaude-code, mcp, node
Est. Tokens~23k

About mcp-memory-keeper

MCP Memory Keeper - Claude Code Context Management A Model Context Protocol (MCP) server that provides persistent context management for Claude AI coding assistants. Never lose context during compaction again! This MCP server helps Claude Code maintain context across sessions, preserving your work history, decisions, and progress.

Compatible Skills

These tools work well together with mcp-memory-keeper for enhanced workflows:

  • Dossier — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • cli-continues — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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