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Developer builds MCP server to pool multiple LLM provider quotas into one token budget

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A developer has released an open-source MCP server called external-agents that routes AI coding agent requests across multiple LLM providers through a single interface. The tool addresses a common pain point where workflows stall due to rate limits or exhausted quotas on a single provider, even when capacity remains available elsewhere. By treating providers like Anthropic, OpenAI, Gemini, and Groq as a shared execution pool, the server allows agents such as Codex and Claude Code to continue working without interruption. The setup also enables cost optimization by directing simpler tasks to cheaper or free-tier models while reserving more capable models for complex reasoning. The developer emphasizes that the tool does not bypass provider limits but instead makes better use of capacity that users already have spread across multiple services.

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Developer builds MCP server to pool multiple LLM provider quotas into one token budget · ShortSingh