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TobiasPerry
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airbyte-agent-connectors

Expose 51+ external API connectors through a unified entity-action interface.

Updated Mar 27, 2026
Search Tags:#ai#sdk#mcp#cloud#api-integration#connectors
One-click install
npx skills add https://github.com/TobiasPerry/aws-hackathon --skill airbyte-agent-connectors-tobiasperry
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: airbyte-agent-connectors
Source: https://github.com/TobiasPerry/aws-hackathon/tree/main/.agents/skills/airbyte-agent-connectors
Command: npx skills add https://github.com/TobiasPerry/aws-hackathon --skill airbyte-agent-connectors-tobiasperry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents often need to interact with a growing set of external APIs, and managing many SDKs, auth schemes, and data formats creates brittle, time-consuming integrations. This skill provides a single, strongly typed interface to dozens of connectors, standardizing how agents call third-party services.

Core Features & Use Cases

  • 51+ connectors exposed through a common entity-action API for consistent querying.
  • Platform Mode (Airbyte Cloud) and OSS Mode (local SDK) with MCP integration for Claude.
  • Centralized discovery, references, and guidelines to accelerate building AI-powered automations.

Quick Start

Install a connector, configure credentials, and begin querying data through the unified entity-action API.

Frequently Asked Questions about airbyte-agent-connectors

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect AI agents to multiple external APIs without managing separate SDKs?▼

You can connect AI agents to multiple external APIs through a unified, typed interface using a common entity-action paradigm. This standardizes how agents call third-party services, eliminating the need to manage many separate SDKs and auth schemes.

What is the entity-action model for API integration in AI workflows?▼

The entity-action model is a common interface paradigm that exposes 51+ connectors through a standardized API. It allows AI agents to consistently query and interact with external services by mapping operations to specific entities and actions.

Does the unified connector interface support Claude MCP for conversational workflows?▼

Yes, the unified connector interface integrates Claude MCP for conversational workflows. This allows AI agents to interact with external APIs through natural language conversational flows.

Can I use Airbyte connectors locally with an OSS mode or do I need Airbyte Cloud?▼

You can use connectors in either Platform Mode via Airbyte Cloud or OSS Mode using the local SDK. Both modes support the unified entity-action API for AI agent integration.

Do I need Python 3.11 to run the unified API connectors for AI agents?▼

Yes, Python 3.11 or higher is required to run the unified API connectors. This environment is necessary to support the SDK and the common entity-action paradigm for AI agent integration.

What are the limitations of using a unified connector interface for AI agents?▼

The unified connector interface requires Python 3.11+ and relies on SKILL.md frontmatter-based discovery. While it covers 51+ connectors, highly specialized or proprietary APIs not yet included in the model may require custom integration.

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