MCP vs CLI for AI Agents: A Comparative Analysis of Tool Integration Strategies for Autonomous Systems
arXiv cs.AIen
arXiv:2610.30157v1 Announce Type: new Abstract: AI agents require interfaces to interact with external systems such as files, APIs, databases, and cloud services. Two competing paradigms have emerged: CLI (Command Line Interface), where agents execute shell commands directly, and MCP (Model Context Protocol), a structured JSON-RPC protocol providing governed, typed tool access. This paper presents a comparative analysis across 14 evaluation dimensions, supported by worked examples, security assessment against established compliance frameworks, and economic modeling. Our analysis indicates that CLI provides superior efficiency for single-user, local-only workflows, while MCP addresses require
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
- Företag
Related AI news
- Chinese state media: DeepSeek and MiniMax completed registration and won approval to open-source and deploy AI models overseas under proposed export controls (Bloomberg)Techmeme · October 23, 2026
- SK Hynix says its SSD subsidiary Solidigm has halted a review of a potential US IPO to fund a new US chip fab, citing "market conditions and share price trends" (P.R. Venkat/Wall Street Journal)Techmeme · October 23, 2026
- SK Hynix shares rebound after initial drop on scrapped Solidigm IPO plansCNBC Technology · October 23, 2026
- RoleFlow: Self-Evolving Multi-Role Agentic Collaboration via Structural AdaptationarXiv cs.AI · October 23, 2026
- Soft Ontology Priors over Latent Concept Posteriors for Weakly Supervised Neuro-Symbolic LearningarXiv cs.AI · October 23, 2026
- When Stable and Preferred Semantics Agree: A Path-Based ApproacharXiv cs.AI · October 23, 2026