Airtable Server
A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records.
domdomegg
Tools
create_table
Create a new table in a base
list_records
List records from a table
list_bases
List all accessible Airtable bases
list_tables
List all tables in a specific base
get_record
Get a specific record by ID
create_record
Create a new record in a table
update_records
Update one or more records in a table
delete_records
Delete one or more records from a table
update_table
Update a table's name or description
create_field
Create a new field in a table
update_field
Update a field's name or description
README
airtable-mcp-server
A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records.
https://github.com/user-attachments/assets/c8285e76-d0ed-4018-94c7-20535db6c944
Usage
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json
:
{
"mcpServers": {
"airtable": {
"command": "npx",
"args": [
"-y",
"airtable-mcp-server"
],
"env": {
"AIRTABLE_API_KEY": "pat123.abc123"
}
}
}
}
Replace pat123.abc123
with your Airtable personal access token. Your token should have at least schema.bases:read
and data.records:read
, and optionally the corresponding write permissions.
Components
Tools
-
list_records
- Lists records from a specified Airtable table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the table to querymaxRecords
(number, optional): Maximum number of records to return. Defaults to 100.filterByFormula
(string, optional): Airtable formula to filter records
-
search_records
- Search for records containing specific text
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the table to querysearchTerm
(string, required): Text to search for in recordsfieldIds
(array, optional): Specific field IDs to search in. If not provided, searches all text-based fields.maxRecords
(number, optional): Maximum number of records to return. Defaults to 100.
-
list_bases
- Lists all accessible Airtable bases
- No input parameters required
- Returns base ID, name, and permission level
-
list_tables
- Lists all tables in a specific base
- Input parameters:
baseId
(string, required): The ID of the Airtable basedetailLevel
(string, optional): The amount of detail to get about the tables (tableIdentifiersOnly
,identifiersOnly
, orfull
)
- Returns table ID, name, description, fields, and views (to the given
detailLevel
)
-
describe_table
- Gets detailed information about a specific table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the table to describedetailLevel
(string, optional): The amount of detail to get about the table (tableIdentifiersOnly
,identifiersOnly
, orfull
)
- Returns the same format as list_tables but for a single table
- Useful for getting details about a specific table without fetching information about all tables in the base
-
get_record
- Gets a specific record by ID
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablerecordId
(string, required): The ID of the record to retrieve
-
create_record
- Creates a new record in a table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablefields
(object, required): The fields and values for the new record
-
update_records
- Updates one or more records in a table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablerecords
(array, required): Array of objects containing record ID and fields to update
-
delete_records
- Deletes one or more records from a table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablerecordIds
(array, required): Array of record IDs to delete
-
create_table
- Creates a new table in a base
- Input parameters:
baseId
(string, required): The ID of the Airtable basename
(string, required): Name of the new tabledescription
(string, optional): Description of the tablefields
(array, required): Array of field definitions (name, type, description, options)
-
update_table
- Updates a table's name or description
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablename
(string, optional): New name for the tabledescription
(string, optional): New description for the table
-
create_field
- Creates a new field in a table
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablename
(string, required): Name of the new fieldtype
(string, required): Type of the fielddescription
(string, optional): Description of the fieldoptions
(object, optional): Field-specific options
-
update_field
- Updates a field's name or description
- Input parameters:
baseId
(string, required): The ID of the Airtable basetableId
(string, required): The ID of the tablefieldId
(string, required): The ID of the fieldname
(string, optional): New name for the fielddescription
(string, optional): New description for the field
Resources
The server provides schema information for Airtable bases and tables:
- Table Schemas (
airtable://<baseId>/<tableId>/schema
)- JSON schema information for each table
- Includes:
- Base id and table id
- Table name and description
- Primary field ID
- Field definitions (ID, name, type, description, options)
- View definitions (ID, name, type)
- Automatically discovered from Airtable's metadata API
Contributing
Pull requests are welcomed on GitHub! To get started:
- Install Git and Node.js
- Clone the repository
- Install dependencies with
npm install
- Run
npm run test
to run tests - Build with
npm run build
- You can use
npm run build:watch
to automatically build after editingsrc/index.ts
. This means you can hit save, reload Claude Desktop (with Ctrl/Cmd+R), and the changes apply.
Releases
Versions follow the semantic versioning spec.
To release:
- Use
npm version <major | minor | patch>
to bump the version - Run
git push --follow-tags
to push with tags - Wait for GitHub Actions to publish to the NPM registry.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
Persistent Knowledge Graph
An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
Hyperbrowser MCP Server
Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Atlassian Integration
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.