Harper’s composable application platform now offers an officially listed Model Context Protocol (MCP) server.
This marks a significant step forward for developers building applications powered by large language models (LLMs). While most MCP servers act as intermediaries between the protocol and an external data source, Harper’s implementation is fused directly into Harper’s data engine. This design eliminates the overhead of network requests, service orchestration, and data movement across layers.
Why It Matters
By running both the MCP server and data operations in the same process, Harper enables a more efficient, performant, reliable, and scalable foundation for context-aware AI systems. This allows developers to retrieve, transform, and deliver context without relying on fragmented infrastructure or additional services.
Unlike traditional approaches, Harper supports multiple data types natively — including structured records, unstructured blobs, and embeddings — all accessible through a single, unified interface.
Developer Advantages
- Fewer moving parts – Reduce system complexity with one fused stack
- Consistent performance – Avoid network and serialization overhead
- Flexible deployment – Run locally, at the edge, or in multi-region environments
- Multi-modal context support – Access structured and unstructured data without external dependencies
Open Source and Ready to Use
Harper’s MCP server is open source under the MIT license and available today on GitHub:
https://github.com/HarperDB/mcp-server
“MCP is emerging as a foundational standard for LLM-native development. Our implementation reflects Harper’s core philosophy — that context and computation belong together, not separated by layers of infrastructure.”
— Stephen Goldberg, CEO, Harper
For technical inquiries or media requests, please contact hello@harperdb.io
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