Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Apache Linkis MCP
Introducing the Apache Linkis Model Computing Platform (MCP)
This new feature set empowers AI applications by seamlessly integrating them with Linkis's powerful task and data management functionalities.
Core Capabilities:
AI-Native Task Governance: We're exposing Linkis's robust task and computation governance to AI models. This allows models to programmatically submit, manage, and oversee their own tasks.
Unified Data Integration: The MCP Server acts as a bridge, enabling AI models to directly access and operate on various data sources managed by Linkis, facilitating real-time data analysis.
Intelligent Knowledge Q&A: The MCP Server provides a framework for delivering accurate and timely answers to user questions. This enhances the user experience and reduces the need for constant support from specialized personnel, which in turn boosts system adoption.
Comprehensive Documentation: This release includes updated documentation to help users and developers get started quickly and effectively.