airtable-cli Skill
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields. Published by openai in plugins.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
API key required authentication, Credentials required
Copy skill directory
18 days ago
Access note: API key required.
What is airtable-cli Skill?
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: plugins/airtable/skills/airtable-cli/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
- API key required
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use airtable-cli Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/airtable/skills/airtable-cli/SKILL.md
What it does
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.
Skill instructions
airtable-mcp Self-discovery Tools are fetched from the MCP server at runtime, so the CLI never has a hardcoded command list. Discover what's available: sh airtable-mcp tools human-readable list airtable-mcp tools --json machine-parseable list airtable-mcp <tool --help show flags and descriptions for a tool Run airtable-mcp tools before assuming a tool exists. Tool names, arguments, and output shapes can change between server releases without a CLI update. Install sh npm install -g @airtable/mcp-cli Auth The CLI needs an Airtable personal access token (PAT). Two paths: Environment variable (preferred for scripts/agents): sh export AIRTABLETOKEN=patxxx Interactive configure (stores token in ~/.airtable/cli.json with 0600 permissions): sh airtable-mcp configure Create tokens at https://airtable.com/create/tokens. Ensure the token has the scopes required by the tools being called. AIRTABLETOKEN takes precedence over saved profiles when no --profile flag is set. Never log or echo tokens. Qu
Verified compatibility and discovery
Frequently asked questions
What is airtable-cli?
airtable-cli is a open-source AI agent skill with Copy skill directory. Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI.
Who is airtable-cli best for?
airtable-cli is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install airtable-cli?
Install or run airtable-cli using Copy skill directory. Check airtable-cli for the latest setup command.
Is airtable-cli actively maintained?
airtable-cli may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
