Airtable
This Airtable MCP server, developed by felores, enables AI assistants to programmatically manage Airtable bases, tables, fields, and records through a standardized interface. It provides tools for common operations like listing bases, creating/updating tables and fields, and performing CRUD operations on records. The server integrates directly with the Airtable API, abstracting away complexities to offer a simplified workflow for AI systems. By connecting AI capabilities with Airtable's flexible database structure, this implementation empowers AI assistants to handle tasks like data entry, analysis, and reporting within Airtable workspaces. It is particularly useful for applications requiring dynamic data management, collaborative workflows, or any scenario where an AI system needs to interact with structured data in Airtable.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/felores/airtable-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Airtable from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.