memstack MCP Server
cwinvestments/memstack
[](https://agentrank-ai.com/tool/cwinvestments--memstack/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
cwinvestments/memstack is a Python tool licensed under MIT. Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools. Topics: vibe-coding, ai-coding, anthropic, claude, claude-code, developer-tools, mcp, skills.
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Ecosystem
Score Breakdown
425 stars → growing community
Last commit 1mo ago → moderate activity
10/11 issues closed → responsive maintainer
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# MemStack™
The structured skill framework for Claude Code: **131 professional skills** for deployment, security, databases, content, marketing, and more.
Skills activate automatically when you need them. Say "deploy this to Railway" and the right skill loads on demand.
### Install
MemStack installs in two parts: the **skills** (via the Claude Code plugin
marketplace) and the **engine** (the MCP skill loader, via PyPI). You need
both: the loader reads skill files from the installed marketplace plugin.
Every command below is labeled **(in Claude Code)** or **(in terminal)**:
running one in the wrong place is the most common setup mistake.
**Step 1: Install the free skills · (in Claude Code):**
```
/plugin marketplace add cwinvestments/memstack
/plugin install memstack@cwinvestments-memstack
```
Run both commands. This unlocks the 87 free skills right away.
> **SSH error?** ("Host key verification failed" on a fresh server that's never used GitHub over SSH.)
> **Default fix · (in t Read full README on GitHub → Get the weekly AgentRank digest
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