Harper Launches Official Model Context Protocol (MCP) Server, Expanding Support for LLM-Native Applications
Blog post from Harper
Harper has introduced an officially listed Model Context Protocol (MCP) server within its composable application platform, enhancing the development of applications powered by large language models (LLMs). This integration directly into Harper's data engine eliminates the need for network requests and service orchestration, thus optimizing efficiency, performance, reliability, and scalability for context-aware AI systems. By combining the MCP server and data operations within a single process, Harper offers a streamlined solution for retrieving and transforming context without fragmented infrastructure, supporting multiple data types such as structured records, unstructured blobs, and embeddings through a unified interface. This implementation, which is open source under the MIT license and available on GitHub, aligns with Harper's philosophy of integrating context and computation, offering developers reduced complexity, consistent performance, and flexible deployment across various environments.
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