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docs: update codeboarding documentation and generate architecture
## 📚 Documentation Update
This commit contains updated documentation files fetched from the CodeBoarding service and automatically generated architecture documentation.
### 📊 Summary
- Documentation files created/updated: 4
- JSON files created/updated: 5
- Documentation directory: .codeboarding/
- JSON directory: .codeboarding/
- Output format: .mdx
- Repository analyzed: https://github.com/mcp-use/mcp-use
- Architecture documentation: docs/development/architecture.mdx (auto-generated)
The generated .mdx files have been automatically appended to the development documentation, and the architecture.mdx file has been generated from the CodeBoarding analysis files.
🤖 This commit was automatically generated by the CodeBoarding documentation update workflow.
The overarching component responsible for abstracting and managing interactions with external AI frameworks and systems. It acts as the primary interface for `mcp-use` to leverage external functionalities, ensuring loose coupling and adaptability.
Defines the abstract interface and contract for all external integrations. It establishes the common methods and properties that any concrete adapter must implement, ensuring a consistent approach to integrating diverse external systems. It also orchestrates the lifecycle of connectors.
A concrete implementation of the `BaseAdapter` specifically tailored for integrating with the LangChain framework. It translates `mcp-use`'s internal requests and data structures into LangChain-compatible formats and vice-versa, enabling the use of LangChain's agents, tools, and chains.
An internal helper component responsible for the initialization, configuration, and lifecycle management of connectors to external systems. It ensures that the necessary connections are established and maintained for adapters to function correctly.
An internal helper component that performs specific data transformations, such as converting `mcp-use`'s internal tool definitions, resources, or prompt templates into formats compatible with external frameworks (e.g., LangChain's tool schema or prompt templates), and vice-versa.
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