airtable-mcp: Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP)

by rashidazarang · MCP Server · ★ 88

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How to install airtable-mcp

codex mcp add airtable -- npx -y @rashidazarang/airtable-mcp
git clone https://github.com/rashidazarang/airtable-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

airtableairtable-apiapiautomationclaudeclaude-codedatabase-automationmcpmcp-server

Quick Facts

Stars88
Forks27
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-09-10
Created2025-03-15
Platformsclaude-code, mcp, node
Est. Tokens~18k

About airtable-mcp

Airtable MCP Server A Model Context Protocol (MCP) server for Airtable with full CRUD operations, schema management, record comments, webhooks, batch operations, governance controls, and AI-powered analytics. Version 5.1.0 Quick Start (Claude Desktop) No insta

Compatible Skills

These tools work well together with airtable-mcp for enhanced workflows:

  • claude-code-discord — semantic(0.17)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (64%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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