Augmented-Nature-UniProt-MCP-Server vs memory

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

	Augmented-Nature-UniProt-MCP-Server by Augmented-Nature	memory by modelcontextprotocol
Stars	★ 19	★ 85,748
30d uses	—	—
Score	44	77
Official	—	✓
Categories	DatabaseDeveloper ToolsKnowledge Graph	Knowledge GraphAI / LLM ToolsProductivity
Language	JavaScript	TypeScript
Last commit	5 mo ago	this month

Augmented-Nature-UniProt-MCP-Server · Summary

Comprehensive UniProt MCP server with 26 bioinformatics tools for protein research and analysis.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

Augmented-Nature-UniProt-MCP-Server · Use cases

Bioinformatics researchers can quickly retrieve detailed protein information and sequences for analysis
AI assistants can perform complex protein queries and comparative genomics through MCP tool calling
Drug discovery teams can analyze protein structures, variants, and pathways to identify potential therapeutic targets

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

Augmented-Nature-UniProt-MCP-Server · Install

Installation

Prerequisites

Node.js (v16 or higher)
npm or yarn

Setup

Clone the repository:

git clone <repository-url>
cd uniprot-server

Install dependencies:

npm install

Build the project:

npm run build

Claude Desktop Configuration

Add the server to your Claude Desktop configuration:

{
  "mcpServers": {
    "uniprot": {
      "command": "node",
      "args": ["/path/to/uniprot-server/build/index.js"],
      "env": {}
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

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

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

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

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.