Access Airtable bases, tables, and records via MCP tools.
npx skills add https://github.com/manojbajaj95/mcp-skill --skill airtable-manojbajaj95
Please help me install this Agent Skill. Skill: airtable Source: https://github.com/manojbajaj95/mcp-skill/tree/main/skills/airtable Command: npx skills add https://github.com/manojbajaj95/mcp-skill --skill airtable-manojbajaj95
This MCP skill provides a typed, Pythonic interface to Airtable, enabling agents to interact with bases, tables, and records without manual tool orchestration or ad-hoc API calls. It abstracts tool calls into a set of well-defined async methods, reducing boilerplate and token usage by enabling direct programmatic access through MCP.
Instantiate AirtableApp and call ping to verify connectivity.
High-intent search queries and answers about installing and using this skill.
Automate Airtable record management by using this MCP skill to provide typed async methods for listing, creating, and updating records. It integrates directly into agent workflows to query bases and fetch schemas without ad-hoc API calls.
Yes, you can retrieve Airtable table schemas programmatically. The skill provides a dedicated get_table_schema tool that returns JSON-parsed results from the MCP server, enabling schema-driven data retrieval for automation workflows.
Yes, this Airtable MCP skill supports filtering and sorting records across multiple bases. It implements flexible parameters including baseId, tableId, fieldIds, filters, cursor, sort, and recordIds to manage data retrieval.
The best way to list accessible Airtable bases and tables is using the built-in list bases and list tables tools. These typed async methods verify connectivity via a ping tool and return structured JSON results for base discovery.
Yes, you need OAuth authentication to query Airtable records using an MCP server. This skill supports OAuth authentication to securely connect your agent to Airtable bases, tables, and records for automated data operations.
Use typed async methods for Airtable automation to reduce boilerplate and token usage compared to direct API calls. This approach abstracts tool calls into well-defined Pythonic methods, returning JSON-parsed results efficiently.
shockz09Query and manage Airtable bases, tables, and records via the uni CLI.
thenslsQuery and manage records across NSLS Airtable bases with schema inspection.
DowwieAnalyzes how tools are modeled, registered, and executed in agent frameworks.
davpatel605-beepManage Airtable records and schemas via authenticated REST API requests.
