unified-gateway-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
unified-gateway-mcp by mcp360 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 20 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsProductivityseo | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 2 mo ago | this month |
unified-gateway-mcp · Summary
MCP360 is a unified gateway connecting AI agents to 100+ tools through a simple search and execute interface.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
unified-gateway-mcp · Use cases
- SEO researchers performing keyword analysis and on-page SEO checks
- Developers needing access to multiple APIs without individual integrations
- Businesses automating email verification and web scraping workflows
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
unified-gateway-mcp · Install
Installation
- Sign up at [mcp360.ai](https://mcp360.ai) to get your API key
- Add the MCP server configuration to your client settings
Claude Desktop
Add this to claude_desktop_config.json:
{
"mcpServers": {
"mcp360": {
"command": "npx",
"args": ["-y", "@mcp360/universal-gateway"],
"env": {
"MCP360_API_KEY": "your_api_key_here"
}
}
}
}Global Installation (Optional)
npm install -g @mcp360/universal-gatewayThen update config to use global command:
{
"mcpServers": {
"mcp360": {
"command": "mcp360-gateway",
"env": {
"MCP360_API_KEY": "your_api_key_here"
}
}
}
}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"]
}
}
}