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What’s MCP all about? Comparing MCP with LLM function calling

Neon

Discover how the Model Context Protocol (MCP) expands LLM function calling by enabling scalable, standardized tool integrations.

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Blogs Neon

BlogsPostgres 18 Beta Is Out: 7 Features You Should Know About - NeonNeon BlogsMCP Safety Cheatsheet - NeonNeon BlogsEasier Postgres fine-tuning with online_advisor - NeonNeon BlogsControl Planes for Database-Per-User in Neon - NeonNeon BlogsHow Zap.xyz Built a Serverless CDC Pipeline with Neon and Inngest - NeonNeon BlogsBuilding a Deep Research Agent with Neon and Durable Endpoints - NeonNeon EventsCloud Security Trends & Challenges: Complete GuideCybersecurity Exchange ResearchDigital Forensics & Emerging Technologies GuideCybersecurity Exchange PeopleMelton Littlepage - Meet the Team1password PeopleRoustem Karimov - Meet the Team1password BlogsStructured memory management for AI Applications and AI Agents with DuckDBMotherduck EventsThe MCP Sessions - Vol 1: Sports AnalyticsMotherduck ResourcesWhat Is Online Analytical Processing (OLAP)? ExplainedMotherduck BlogsBest Practices for Multi-Turn RLFireworks BlogsWhy do all LLMs need structured output modes?Fireworks BlogsThe Best 8 LLM API Providers in 2026Fireworks BlogsBeyond Supervised Fine Tuning: How Reinforcement Learning Empowers AI with Minimal LabelsFireworks BlogsThe DeepSeek Model Lineup: V3.2, R1, and Distilled Variants Mapped to Production WorkloadsFireworks BlogsConnect Codex to MCP Servers via Docker MCP ToolkitDocker BlogsDocker acquires AtomicJar, maker of Testcontainers | DockerDocker