mcp-fetch-weather vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-fetch-weather by IsseiSuar | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 0 | ★ 85,748 |
| 30d uses | — | — |
| Score | 27 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsweatherOther | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 11 mo ago | this month |
mcp-fetch-weather · Summary
A minimalist MCP server providing weather fetching functionality using Open-Meteo API.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-fetch-weather · Use cases
- Enabling weather queries in LLM applications through MCP protocol
- Serving as a reference implementation for MCP tool development
- Demonstrating external API integration with MCP servers
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
mcp-fetch-weather · Install
git clone git@github.com:IsseiSuar/mcp-fetch-weather.git
cd mcp-fetch-weather
pnpm install # or npm installFor Claude Desktop, add this to your configuration:
{
"mcpServers": {
"weather": {
"command": "node",
"args": ["path/to/mcp-fetch-weather/dist/index.js"]
}
}
}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"]
}
}
}