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‎README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Contribution
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Read [Read me Development Context](./README-DEVELOPMENT-CONTEXT) for information about the Monorepo.

‎_PackageTemplate/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/Amqp/README.md‎

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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## AMQP Package
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This package provides AMQP integration for Ecotone, supporting both:

‎packages/Dbal/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/Ecotone/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/Enqueue/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/JmsConverter/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/Kafka/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/Laravel/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

‎packages/LiteApplication/README.md‎

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## Getting started
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The quickstart [page](https://docs.ecotone.tech/quick-start) of the
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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[reference guide](https://docs.ecotone.tech) provides a starting point for using Ecotone.
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Read more on the [Ecotone's Blog](https://blog.ecotone.tech).
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## AI-Friendly Documentation
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Ecotone provides AI-optimized documentation for use with AI assistants and code editors:
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- **MCP Server**: `https://docs.ecotone.tech/~gitbook/mcp` - [Install in VSCode](vscode:mcp/install?%7B%22name%22%3A%22Ecotone%22%2C%22url%22%3A%22https%3A%2F%2Fdocs.ecotone.tech%2F~gitbook%2Fmcp%22%7D)
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- **LLMs.txt**: [ecotone.tech/llms.txt](https://ecotone.tech/llms.txt)
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- **Context7**: Available via [@upstash/context7-mcp](https://github.com/upstash/context7)
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Learn more: [AI Integration Guide](https://docs.ecotone.tech/other/ai-integration)
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## Feature requests and issue reporting
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Use [issue tracking system](https://github.com/ecotoneframework/ecotone-dev/issues) for new feature request and bugs.

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