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everything vs shodh-memory

Side-by-side comparison to help you pick between these two MCP servers.

everything
by modelcontextprotocol
shodh-memory
by varun29ankuS
Stars★ 85,748★ 212
30d uses
Score7751
Official
Categories
Developer ToolsAI / LLM ToolsOther
AI / LLM ToolsKnowledge GraphProductivity
LanguageTypeScriptRust
Last committhis monththis month

everything · Summary

Official MCP test server exercising all protocol features for client builders.

shodh-memory · Summary

Persistent cognitive memory for AI agents and robots with offline support and 37 MCP tools.

everything · Use cases

  • Testing MCP client implementations against all protocol features
  • Learning MCP protocol capabilities through a reference server
  • Validating client compatibility with different transport methods

shodh-memory · Use cases

  • Persistent memory for AI coding assistants like Claude and Cursor
  • Cognitive memory for robots and ROS2 systems
  • Personal knowledge management with automatic recall

everything · Install

NPX (recommended)

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

On Windows, use cmd /c:

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

Docker

{
  "mcpServers": {
    "everything": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/everything"]
    }
  }
}

Global install

npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything

shodh-memory · Install

Installation

**Unified CLI**

# Download from GitHub Releases
shodh init
shodh server

**Claude Desktop**

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

**Python**

pip install shodh-memory

**Rust**

[dependencies]
shodh-memory = "0.1"
Comparison generated from public README + GitHub signals. Last updated automatically.