mcp-documentation-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-documentation-server by andrea9293 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 313 | ★ 85,748 |
| 30d uses | — | — |
| Score | 52 | 77 |
| Official | — | ✓ |
| Categories | File SystemSearchAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 3 mo ago | this month |
mcp-documentation-server · Summary
A TypeScript MCP server for local document management with semantic search using Orama vector database and optional Gemini AI integration.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-documentation-server · Use cases
- Managing and searching technical documentation and API references
- Creating a knowledge base for internal company documentation
- Personal document organization with semantic search capabilities
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-documentation-server · Install
Installation
- Configure your MCP client (e.g., Claude Desktop, VS Code):
{
"mcpServers": {
"documentation": {
"command": "npx",
"args": [
"-y",
"@andrea9293/mcp-documentation-server"
],
"env": {
"MCP_BASE_DIR": "/path/to/workspace",
"GEMINI_API_KEY": "your-api-key-here",
"MCP_EMBEDDING_MODEL": "Xenova/all-MiniLM-L6-v2",
"START_WEB_UI": "true",
"WEB_PORT": "3080"
}
}
}
}- Install the package:
npm install -g @andrea9293/mcp-documentation-servermemory · 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"]
}
}
}