# Airtable MCP Server

> Use this tool when you need to integrate Large Language Models (LLMs) with Airtable databases, enabling them to read and write records, and inspect database schemas. It provides a Model Context Protocol (MCP) server for seamless interaction between LLMs and Airtable, solving data access and manipulation challenges. Ideal for use cases requiring dynamic data exchange between LLMs and Airtable databases.

Canonical page: https://skillsregistry.net/skills/am1010101-airtable-mcp-sse  
JSON: https://api.skillsregistry.net/v1/skills/am1010101-airtable-mcp-sse

## Description

A Model Context Protocol server that provides read and write access to Airtable databases, enabling LLMs to inspect database schemas, then read and write records.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/bezej9pnxk)
- **Repository:** <https://github.com/AM1010101/airtable-mcp-sse>

## 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": "am1010101-airtable-mcp-sse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/am1010101-airtable-mcp-sse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/am1010101-airtable-mcp-sse/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