# Airtable

> Use this tool when you need to programmatically manage databases, perform data entry, analysis, and reporting, or integrate AI capabilities with structured data. It solves problems related to dynamic data management, collaborative workflows, and automating tasks within Airtable workspaces. The tool provides a standardized interface for listing bases, creating tables and fields, and performing CRUD operations on records, making it ideal for applications requiring AI-driven data interaction.

Canonical page: https://skillsregistry.net/skills/felores-airtable  
JSON: https://api.skillsregistry.net/v1/skills/felores-airtable

## Description

This Airtable MCP server, developed by felores, enables AI assistants to programmatically manage Airtable bases, tables, fields, and records through a standardized interface. It provides tools for common operations like listing bases, creating/updating tables and fields, and performing CRUD operations on records. The server integrates directly with the Airtable API, abstracting away complexities to offer a simplified workflow for AI systems. By connecting AI capabilities with Airtable's flexible database structure, this implementation empowers AI assistants to handle tasks like data entry, analysis, and reporting within Airtable workspaces. It is particularly useful for applications requiring dynamic data management, collaborative workflows, or any scenario where an AI system needs to interact with structured data in Airtable.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/felores-airtable)
- **Repository:** <https://github.com/felores/airtable-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "felores-airtable"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/felores-airtable` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/felores-airtable/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt