How do I install 内存管理?

Install via Claude Code (local): 1. Install Claude Code CLI 2. Copy the command below, replace with real env values, then run in terminal 3. See Environment variables below if listed Example: claude mcp add server-memory -- npx -y @modelcontextprotocol/server-memory

What is 内存管理 good for?

内存管理 is a fit for: China services. See AgentHub scenario pages for pairings.

内存管理 MCP Setup & Guide

Q: What is 内存管理?

提供内存管理和数据缓存的MCP服务器 内存管理 is a MCP Server listed from MCP Hub China. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

MCP ServerMCP Hub 中国

io.mcp-cn.modelcontextprotocol/server-memory

提供内存管理和数据缓存的MCP服务器

View on MCP Hub 中国 ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Uses64k

Overview

提供内存管理和数据缓存的MCP服务器内存管理 is a MCP Server listed from MCP Hub China. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

内存管理数据缓存性能优化系统工具

Use cases

China services

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-29

Install Snippets TestedCLI & JSON config syntax verified

Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications

Origin Registry ActiveSourced from mcp-cn

Verified ClientsClaude Code、Claude Desktop、Cursor 等

Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Score 70/100

Copy by platform

Choose your platform

Open or create .cursor/mcp.json in your project root
Click Copy config and paste; merge only this mcpServers entry if others exist
Replace <placeholders> in env with real secrets (see Environment variables below)
Save, then Cmd+Shift+P → Reload Window

Click to copy snippet

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Setup tutorial

Open the 内存管理 page and confirm this MCP Server (source: MCP Hub China).
Copy the Cursor, Claude Code, or VS Code snippet.
Merge it into mcpServers and replace env placeholders with real secrets.
Reload the window, then call the MCP tools from your agent chat.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Claude Code (local)

Install Claude Code CLI
Copy the command below, replace <placeholders> with real env values, then run in terminal
See Environment variables below if listed

claude mcp add server-memory -- npx -y @modelcontextprotocol/server-memory

Cursor — .cursor/mcp.json (local)

Open or create .cursor/mcp.json in your project root
Click Copy config and paste; merge only this mcpServers entry if others exist
Replace <placeholders> in env with real secrets (see Environment variables below)
Save, then Cmd+Shift+P → Reload Window

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code — .vscode/mcp.json (local)

Install GitHub Copilot in VS Code with MCP support
Open or create .vscode/mcp.json in your project root
Click Copy config and paste; merge only this mcpServers entry if others exist
Replace <placeholders> in env with real secrets
Save and Developer: Reload Window

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Claude Desktop — claude_desktop_config.json (local)

Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
Click Copy config and merge under mcpServers
Replace <placeholders> in env with real secrets
Fully quit and restart Claude Desktop

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Trae — .trae/mcp.json (local)

Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
Click Copy config and merge mcpServers
Replace <placeholders> in env with real secrets
Save and reload Trae

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Cherry Studio — MCP settings (local)

Cherry Studio → Settings → MCP Servers → Add (STDIO)
Or import JSON: click Copy config and merge mcpServers
Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
Enable the server and check tools load

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Tongyi Lingma — MCP config (local)

Lingma Settings → MCP → + → STDIO or config file
Click Copy config and merge mcpServers
Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
Confirm connected before using tools in agent chat

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Windsurf — mcp_config.json (local)

Edit ~/.codeium/windsurf/mcp_config.json
Click Copy config and merge mcpServers (stdio same as Cursor)
Replace <placeholders> in env, save, refresh Cascade

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Cline — MCP Servers (local)

Cline panel → Settings → MCP Servers
Click Copy config and merge
Replace <placeholders> in env, then save

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

WorkBuddy — .workbuddy/mcp.json (local)

Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
Or Plugins → MCP Servers → Configure MCP and paste the JSON below
Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
Save, restart WorkBuddy, confirm connector status is green

{
  "mcpServers": {
    "server-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for 内存管理

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for 内存管理?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet

# Check binary path in terminal:
which npx
node -v

Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

内存管理 Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready

fn: server_memoryExecute the core tool interface of 内存管理

Request ArgumentsJSON Schema

{
  "target": "内存管理",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}

💡Parameters generated dynamically by Agent runtime

Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For

Feishu docs
China maps routing
WeCom notifications

When NOT to Use

Teams with no China accounts
Cross-border data compliance concerns

Recommended Workflow Pairing:View Scenario →

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like this Search similar Pick by scenario Prompt playbooks MCP hands-on Reviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

Preview

HTML

<a href="https://myagenthub.cn/p/io.mcp-cn.modelcontextprotocol/server-memory" title="Listed on AgentHub: 内存管理" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.mcp-cn.modelcontextprotocol/server-memory?lang=en" alt="Listed on AgentHub: 内存管理" height="20" style="border:0"/>
</a>

Markdown (GitHub README)

[![Listed on AgentHub: 内存管理](https://myagenthub.cn/badge/io.mcp-cn.modelcontextprotocol/server-memory?lang=en)](https://myagenthub.cn/p/io.mcp-cn.modelcontextprotocol/server-memory)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.mcp-cn.modelcontextprotocol/server-memory",
  "type": "mcp-server",
  "version": "latest",
  "displayName": "内存管理",
  "description": "提供内存管理和数据缓存的MCP服务器",
  "author": {
    "name": "Anthropic, PBC"
  },
  "homepage": "https://mcp-cn.com/server/85",
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "@modelcontextprotocol/server-memory",
        "runtimeHint": "npx",
        "transport": "stdio"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [
    "use_count:63988",
    "内存管理",
    "数据缓存",
    "性能优化",
    "系统工具"
  ],
  "provenance": {
    "origin": "mcp-cn",
    "originalId": "@modelcontextprotocol/server-memory",
    "originalUrl": "https://mcp-cn.com/server/85",
    "isOfficial": false,
    "status": "active"
  }
}