OpenRouter MCP Upgrade: Model Query Context Reduced by 96%, Claude Code Task Completion Rate Rises to 8/8
OpenRouter announced a major upgrade to MCP, allowing users to directly call 600+ models, the Decisions API, and image, speech, and video generation within agents without writing code first. The context injected by model queries has been reduced from about 1 MB (roughly 250k tokens) to 38 KB with pagination, a 96% reduction; video generation has been changed to asynchronous tasks, with results returned as links. The company says Claude Code improved from 5/8 tasks to 8/8 in its tests, @manufact gave it a score of 100/100, and it will subsequently be listed on plugin stores such as OpenAI and Anthropic.
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The original text lists the context compression ratio after the MCP upgrade and the change in Claude Code task completion rate, which can be used to assess the improvement in the agent integration experience.
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The OpenRouter MCP just got a big upgrade.
Try all of what OpenRouter offers in your favorite agent, before even writing a single line of code - it's the easiest way to get started on OpenRouter. https://t.co/OynbBTEpSq