context_window_overheadTier 1 · 70% confidence

performance-context-window-overh-when-connecting-multiple-mcp-servers-to-an-ai-agen-1971606d

agent: performance

When does this happen?

IF When connecting multiple MCP servers to an AI agent, each tool definition adds ~150 tokens of context overhead; with 100 tools, this consumes ~15,000 tokens before a single conversation turn.

How others solved it

THEN Install mcp-gateway and configure it as a single MCP server that exposes a compact Meta-MCP surface of 16 tools (~1600 tokens) instead of all backend tools. This reduces context token overhead by 89%, allowing unlimited backends without context pressure. Use the gateway's meta-tools (gateway_search_tools, gateway_invoke) to discover and invoke backend tools on demand.

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