MCP Servers Inject Context Tokens on Every Message Even When Not Used
Every configured MCP server injects tokens into the context window on each message, regardless of whether that server is needed for the current task. As developers add more MCP servers, context window bloat becomes severe and reduces effective model capacity. No selective MCP loading mechanism exists to activate servers only when relevant.
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Similar Problems
surfaced semanticallyAll Configured MCP Servers Inject Context Tokens on Every Message Even When Unused
AI development workflows with multiple MCP servers configured experience silent context window bloat because every configured server injects tokens on every message, regardless of whether that server is used. Users have no visibility into which servers are consuming context budget until they notice degraded model performance. No selective activation mechanism exists to enable only the MCP servers relevant to the current task.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.