DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers
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Abstract (arXiv)
The rapid development of LLMs coupled with the introduction of Model Context Protocol (MCP) has revolutionized how intelligent agents interact with APIs through deterministic and structured methods citeModelContextProtocolIntro2025. While some existing systems like AutoMCP attempt to automate a previously completely manual process of generating MCP servers, they fail to address the recurring challenge of maintaining synchronization between evolving enterprise-level APIs and their corresponding MCP toolset implementation citemastouri2025makingrestapisagentready. This paper introduces DeltaMCP, a specification-aware, incremental regeneration tool for enterprise-grade MCP servers. DeltaMCP enables developers to only update the affected tooling of MCP servers, given a new release of it's corresponding service's OpenAPI specification. Using Azure REST API specifications as the evaluation dataset, DeltaMCP is benchmarked against baseline full generation methods on generation quality and system performance. The results demonstrate the reduction in developer overhead through DeltaMCP whilst improving maintainability and version consistency. This research offers a scalable approach for enterprises seeking to maintain high-fidelity, up-to-date MCP server infrastructures for LLM-based systems.
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References · 6
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenesscited by 3,673
- 2025Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directionscited by 265
- 2025A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)cited by 101
- 2023A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trendscited by 66
- 2025Simplified and Secure MCP Gateways for Enterprise AI Integrationcited by 4
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- 2025From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM Agents
- 2026MCPEvol-Bench: Benchmarking LLM Agent Performance Across Dynamic Evolutions of MCP Servers
- 2026A Taxonomy of Runtime Faults in Model Context Protocol Servers
- 2026Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering
- 2025LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
- 2025ScaleMCP: Dynamic and Auto-Synchronizing Model Context Protocol Tools for LLM Agents
- 2026MCP Server Architecture Patterns for LLM-Integrated Applications
- 2026Bridging Protocol and Production: Design Patterns for Deploying AI Agents with Model Context Protocol