Airtable MCP

Live

OAUTH 2.0

PROJECT MANAGEMENT

Project Management

Airtable MCP gives agents scoped access to your bases: manage tables, records, views, fields, and automations as the actual user.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
Airtable MCP
agent · Acme Q3
Run
Create Base in Airtable MCP
S
airtablemcp_create_base
85ms
Airtable MCP agent
Creates a new airtable base with specified tables and fields in a workspace. use list_workspaces to get the workspaceid .
Sources: Airtable MCP
airtablemcpmcp
1 tool call
18:29
Message Claude...

Airtable MCP tools for AI agents

CALL ANY TOOL
12 tools covering create.
airtablemcp_list_bases
List bases
Lists all Airtable bases that you have access to in your account, including favorited and recently viewed bases. If the response includes an offset, pass it in a subsequent call to retrieve the next page of results.
Parameters
Name
Type
Required
Description
offset
string
Optional
Pagination cursor from a previous list_bases response.
airtablemcp_search_bases
Search bases
airtablemcp_list_workspaces
List workspaces
airtablemcp_search_records
Search records
airtablemcp_list_automations
List automations
airtablemcp_search_candidate_linked_records
Search candidate linked records
airtablemcp_list_record_comments
List record comments
airtablemcp_get_automation
Get automation
airtablemcp_list_external_accounts
List external accounts
airtablemcp_get_form_schema
Get form schema
airtablemcp_list_pages_for_base
List pages for base
airtablemcp_get_table_schema
Get table schema
airtablemcp_list_tables_for_base
List tables for base
airtablemcp_get_record_for_page
Get record for page
airtablemcp_list_views_for_table
List views for table
airtablemcp_get_create_automation_instructions
Get create automation instructions
airtablemcp_list_records_for_page
List records for page
airtablemcp_create_base
Create base
airtablemcp_list_records_for_table
List records for table
airtablemcp_create_page
Create page
airtablemcp_update_field
Update field
airtablemcp_create_field
Create field
airtablemcp_update_table
Update table
airtablemcp_create_table
Create table
airtablemcp_update_automation
Update automation
airtablemcp_create_interface
Create interface
airtablemcp_update_records_for_table
Update records for table
airtablemcp_create_automation
Create automation
airtablemcp_ping
Ping
airtablemcp_create_record_comment
Create record comment
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="airtablemcp")

mcp = MultiServerMCPClient({
"airtablemcp": {
"url": "https://mcp.scalekit.com/airtablemcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "airtablemcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/airtablemcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "airtablemcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/airtablemcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="airtablemcp")
# Connect to MCP at https://mcp.scalekit.com/airtablemcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Updates an existing table’s name and/or description in an Airtable base?
Copy the prompt
Copied
Searches for records in a table using a free-text query with fuzzy matching and token-based search?
Advanced
Copy the prompt
Copied
Publishes an interface, promoting each page’s working draft to the live version that end users see?
Copy the prompt
Copied
Pings the Airtable MCP server to check if it is running and reachable?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Airtable MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Airtable MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Airtable MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Airtable MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
Engineering Teams
Engineering standup agent
Pulls commits from GitHub and GitLab, tracks issue movement in Jira, and posts a per-engineer standup brief to Slack. Each engineer's activity is read on their own delegated OAuth.
Engineering Teams
DevOps assistant agent
Polls GitHub for failing checks and stale PRs, opens Linear issues for the ones that need work, and posts a daily digest to Slack. It acts as the engineer, not a shared service account.
Engineering Teams
Slack triage
Polls Slack for new messages, classifies bugs and support requests with a LangGraph router, files GitHub issues or Zendesk tickets, and confirms in the thread.
People Ops and HR teams
Performance review collector
Collects review feedback from Airtable and Google Forms scoped to each manager's direct reports, writes per-employee summaries to Notion, and DMs the manager a Slack digest.
Test other agents
See the same per-user auth pattern across other connectors.
ENGINEERING
Engineering standup agent
Pull commits from GitHub and GitLab, track Jira issue movement, and post a per-engineer standup brief to Slack.
ENGINEERING
DevOps assistant agent
Poll GitHub for failing checks and stale pull requests, open Linear issues for the ones that need work, and digest to Slack.
ENGINEERING
Slack triage agent
Classify new Slack messages as bugs or support requests, file the GitHub issue or Zendesk ticket, and reply in the thread.
PEOPLE OPS
Performance review collector agent
Collect review feedback from Airtable and Google Forms per manager, summarise each report in Notion, and DM the digest in Slack.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Airtable as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Airtable OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Airtable?
Yes. Pass a tool name filter to listScopedTools so the project management agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Airtable.

What happens when a user revokes Airtable access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Which Airtable bases can the agent read or write?
Only bases the authorizing user can access. Workspace, base, and table permissions are honored on every record, field, and automation call. The agent cannot touch bases the user has not been granted.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""airtablemcp"": {
""url"": ""https://mcp.scalekit.com/airtablemcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.airtablemcp]
url = ""https://mcp.scalekit.com/airtablemcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""airtablemcp"": {
""url"": ""https://mcp.scalekit.com/airtablemcp"",
""type"": ""http""
}
}
}