MCP Increases Token Costs: Developer Reveals the Price of Multi-Turn Interactions
KitchenAmoeba4438 · reddit · 2026-08-12
After weeks of intensive testing, the author concludes that using the Model Context Protocol (MCP) in AI orchestration frameworks significantly drives up token consumption and costs.
The core issue is that MCP disallows batching. In LLM interactions, increasing tokens within a single turn incurs a linear cost, whereas increasing the number of turns results in a quadratic cost. MCP's architecture naturally leans towards multi-turn interactions, causing expenses to skyrocket.
The author stresses that any addon claiming to save tokens via MCP (especially those with shell access) is misleading. For scenarios capable of batch processing, direct batching is always cheaper and more efficient than MCP. While MCP has highly specific use cases, bypassing it for batch operations remains the optimal strategy for model invocation and cost reduction.
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