# Airtable User

> Use this tool when you need to manage and customize your Airtable bases with advanced features and automation. It provides 30 tools to solve problems such as schema inspection, field management, and view configuration, taking Airtable inputs and producing customized outputs. Ideal for power users and developers seeking to streamline their Airtable workflow and extend its native capabilities.

Canonical page: https://skillsregistry.net/skills/automations-project-airtable-user  
JSON: https://api.skillsregistry.net/v1/skills/automations-project-airtable-user

## Description

Third-party MCP server for Airtable providing 30 tools to manage Airtable bases using Airtable's internal API. Supports full schema inspection, field management (formula, rollup, lookup, count), view configuration (filters, sorts, grouping, column visibility), formula validation before applying, and extension management. Not affiliated with Airtable Inc.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/automations-project-airtable-user)
- **Repository:** <https://github.com/automations-project/vscode-airtable-formula>

## 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": "automations-project-airtable-user"
    }
  }
}
```

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