OpenRouter MCP Upgrade: Model Query Context Reduced by 96%, Claude…
OpenRouter announced that its MCP has undergone a major upgrade, allowing users to have agents directly call 600+ models, the Decisions API, and image, speech, and video generation in chat without writing code first. The context used for model queries has been reduced from about 1 MB (about 250k tokens) to 38 KB and returned in pages, a 96% reduction; video generation has been changed to asynchronous tasks, with results returned as links. OpenRouter says Claude Code in its tests improved from 5/8 tasks to 8/8, @manufact gave it a 100/100 score, and it will later be listed on plugin stores such as OpenAI and Anthropic.
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The original article lists the context usage, video tasks, and changes in Claude Code task completion rates after the MCP upgrade, which can be used to assess integration costs.
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Test all that OpenRouter offers before you write a single line of code. Ask your agent to send a message to 600+ models, call the Decisions API, or generate an image, speech or video, with your key, right in the chat. You see the real response before you build on it. https://t.co/PgVuRh0a6b