airtable-mcp-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
airtable-mcp-server by domdomegg | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 444 | ★ 85,748 |
| 30d uses | — | — |
| Score | 53 | 77 |
| Official | — | ✓ |
| Categories | DatabaseProductivityDeveloper Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
airtable-mcp-server · Summary
A comprehensive MCP server enabling AI systems to interact with Airtable databases through read and write operations.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
airtable-mcp-server · Use cases
- Automating data entry and updates in Airtable through AI assistants
- Building intelligent data pipelines that connect Airtable with other systems
- Enabling AI-powered analysis and reporting on Airtable datasets
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
airtable-mcp-server · Install
Installation
**Step 1**: [Create an Airtable personal access token](https://airtable.com/create/tokens/new)
- Name: e.g. 'Airtable MCP Server Token'
- Scopes:
schema.bases:read,data.records:read, and optionallyschema.bases:write,data.records:write
**Step 2**: Configure Claude Desktop by adding to claude_desktop_config.json:
{
"mcpServers": {
"airtable": {
"command": "npx",
"args": [
"-y",
"airtable-mcp-server"
],
"env": {
"AIRTABLE_API_KEY": "pat123.abc123",
}
}
}
}Restart Claude Desktop after saving.
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"]
}
}
}