Description

Bring operational data and context into the flow of your ChatGPT conversations. You can ask questions, create and update records, and analyze your data—all through conversation. Use the data in Airtable as input to the work you’re doing in ChatGPT, like building a landing page using content you’ve organized in Airtable. Make quick updates to Airtable without leaving the chat. Airtable for ChatGPT is ideal anytime you need quick access to structured internal data to inform your conversation. Airtable's App connects ChatGPT directly to your Airtable bases, so you can ask questions, create and update records, and analyze your data—all through conversation

About This App

Airtable is the AI-native platform for building trusted AI apps to accelerate business operations and deploy embedded AI agents at enterprise scale.

Last updated: April 20, 2026

Website Preview

Screenshot of Airtable website

App Screenshots

Airtable screenshot

Capabilities

Can Modify Data
Works in Conversation

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status airtable-mcp-server v0.0.1

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https://mcp.airtable.com/mcp

Last checked: 5d ago

Server Instructions

The Airtable MCP Server provides tools to interact with Airtable bases. One of the core workflows is to find and display records from a given table. For example, "Show me projects on the roadmap shipping this week". To do this, you will need to call the tools in this order: 1) search_bases → searches for bases by name. Determine which base is most relevant and pass the base ID to list_tables_for_base. 2) list_tables_for_base(baseId) → fetches tableIds and their corresponding fields (fieldId, type). Use this to decide which tables and fields are relevant. 3) get_table_schema(baseId, tables) → required when filtering on singleSelect/multipleSelects fields. Fetches detailed field schema including choice IDs and names. Call this before filtering to get the correct choice IDs. Each table entry must include tableId and fieldIds. 4) (a) if available, use display_records_for_table(baseId, tableId, ...params) → displays records only from the relevant table(s). Use params to filter, sort, select fields, and paginate. (b) otherwise, use list_records_for_table(baseId, tableId, ...params) → lists records only from the relevant table(s). Use params to filter, sort, select fields, and paginate. Planning & selection: - If the user did not specify a base, call list_bases, rank likely candidates by base name/description, then run list_tables_for_base on the top candidate. ID formats: - Always operate on Airtable internal IDs. Never substitute user-facing names for IDs. - Examples: base IDs like appZfrNIUEip5MazD, table IDs like tblGlReoTNWfYnXIG, field IDs like fldGlRtkBNWfYnPOV, choice IDs like selABCDEFGHIJKL. - Never guess or fabricate IDs; fetch them first or have them be specified by the user.

Technical Details
Connection Latency 286ms
Error

Authentication required

Tools(12)

Showing 12 of 12 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
create_field
No description provided—
100%Latency 513ms
Mar 22, 2026
create_records_for_table
No description provided—
100%Latency 264ms
Mar 22, 2026
create_table
No description provided—
100%Latency 683ms
Mar 22, 2026
get_table_schema
No description provided—
100%Latency 344ms
Mar 22, 2026
list_bases
No description provided—
100%Latency 453ms
Mar 22, 2026
list_records_for_table
No description provided—
100%Latency 290ms
Mar 22, 2026
list_tables_for_base
No description provided—
100%Latency 348ms
Mar 22, 2026
ping
No description provided—
100%Latency 387ms
Mar 22, 2026
search_bases
No description provided—
100%Latency 393ms
Mar 22, 2026
update_field
No description provided—
100%Latency 528ms
Mar 22, 2026
update_records_for_table
No description provided—
100%Latency 436ms
Mar 22, 2026
update_table
No description provided—
100%Latency 258ms
Mar 22, 2026

Keywords

Trigger Keywords (@mentions)

@airtable

Discoverability Score

57

Fair

57 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    4/15
  • Tool metadata
    10/20
  • Visual assets
    13/20
  • Endpoint health
    6/10
  • Data freshness
    15/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Improve MCP tool descriptions. Clear tool descriptions increase tool selection accuracy.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Requires Login
Listed on
ChatGPT Claude
Added
December 12, 2025
Last synced
3d ago
Last checked
5d ago
Version
0.0.1
Distribution
Ecosystem Directory

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