MCP-F1data vs memory
Side-by-side comparison to help you pick between these two MCP servers.
MCP-F1data by Maxbleu | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 0 | ★ 85,748 |
| 30d uses | — | — |
| Score | 32 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsOthersports | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 4 mo ago | this month |
MCP-F1data · Summary
A Python-based MCP server providing Formula 1 racing data through the F1DB API.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
MCP-F1data · Use cases
- Retrieving F1 driver statistics and career information
- Accessing historical race and championship data
- Querying circuit information and race schedules
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-F1data · Install
Installation
Install the package via pip:
pip install mcp-f1dataConfigure in Claude Desktop by adding the following to your configuration file:
- Windows:
%APPDATA%/Claude/claude_desktop_config.json - Linux:
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-f1data": {
"command": "python",
"args": [ "-m", "mcp-f1data" ]
}
}
}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"]
}
}
}