Developer Builds Open-Source MCP Proxy to Cut Token Bloat for AI Agents

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A developer has released PlayGuard, an open-source proxy tool designed to reduce excessive context consumption when AI agents like Claude Code interact with MCP servers such as Playwright and Figma. The problem arose because these servers return complete data payloads, which can run into hundreds of kilobytes per response, rapidly exhausting an AI agent's limited context window. PlayGuard sits transparently between the AI agent and the MCP server, intercepting and trimming responses before they reach the model without requiring any changes to the original tools. The proxy also handles automatic session recovery for Playwright crashes and includes response caching and configurable optimization rules. The project is publicly available on GitHub, and the developer is actively working on additional MCP integrations, smarter caching, and performance benchmarks.

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