Kagi-Session2API-MCP vs memory
Side-by-side comparison to help you pick between these two MCP servers.
Kagi-Session2API-MCP by KSroido | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 134 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | SearchWeb ScrapingAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
Kagi-Session2API-MCP · Summary
Free Kagi Search MCP server using session tokens instead of paid API, works with multiple MCP clients.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
Kagi-Session2API-MCP · Use cases
- Integrate free Kagi search capabilities into AI agents like Claude Desktop and Cursor
- Build applications requiring web search without paying for Kagi's API
- Create summarization tools for web content using Kagi's internal summarizer
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
Kagi-Session2API-MCP · Install
Install via pip:
pip install kagi-session2api-mcpFor Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"kagi-session": {
"command": "uvx",
"args": ["kagi-session2api-mcp"],
"env": {
"KAGI_SESSION_TOKEN": "YOUR_SESSION_TOKEN_HERE"
}
}
}
}Or with config file for multiple tokens:
{
"mcpServers": {
"kagi-session": {
"command": "uvx",
"args": ["kagi-session2api-mcp"],
"env": {
"KAGI_SESSION_CONFIG": "/path/to/config.toml"
}
}
}
}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"]
}
}
}