mcp-kibela-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-kibela-server by kiwamizamurai | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 7 | ★ 85,748 |
| 30d uses | — | — |
| Score | 36 | 77 |
| Official | — | ✓ |
| Categories | ProductivityKnowledge GraphCommunication | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 9 mo ago | this month |
mcp-kibela-server · Summary
MCP server for Kibela API integration, enabling LLMs to search, retrieve, and manage notes with advanced filtering capabilities.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-kibela-server · Use cases
- AI assistants retrieving and summarizing recent notes from a team's knowledge base
- Automated organization of content through folder and group management
- Cross-referencing information between different notes and documents
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-kibela-server · Install
Installation
- Install via npm:
npm install -g @kiwamizamurai/mcp-kibela-server- Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"kibela": {
"command": "npx",
"args": ["-y", "@kiwamizamurai/mcp-kibela-server"],
"env": {
"KIBELA_TEAM": "YOUR_TEAM_NAME",
"KIBELA_TOKEN": "YOUR_TOKEN"
}
}
}
}- For Docker users:
{
"mcpServers": {
"kibela": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "KIBELA_TEAM",
"-e", "KIBELA_TOKEN",
"ghcr.io/kiwamizamurai/mcp-kibela-server:latest"
],
"env": {
"KIBELA_TEAM": "YOUR_TEAM_NAME",
"KIBELA_TOKEN": "YOUR_TOKEN"
}
}
}
}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"]
}
}
}