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Mastra releases 1.10.0: Tool input samples, MCP context forwarding, and agent stability are upgraded together

Mastra releases 1.10.0: Tool input samples, MCP context forwarding, and agent stability are upgraded together

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Mastra released 1.10.0 today. This version is quite informative, but the most worth grasping is actually three points: the tool definition now supports 'inputExamples', the MCP client's custom fetch can receive 'RequestContext', and a number of stability fixes related to proxy execution, streaming output, and memory cleaning. Taken together, it is not a single feature update, but a patch for the most problematic layers of the proxy framework.

The 'inputExamples' change is very representative. It essentially tells the model "what kind of tool input is correct", which directly affects the hit rate of tool calls, especially in complex agent workflows, which is more stable than simply changing the prompt. On the other hand, MCP requests support continuing to carry cookies or bearer tokens in the context of the request, making the tool links that require authentication more like real enterprise usage rather than lab demos.

More importantly, Mastra didn't spend all its energy on new features. It also fixes provider stream error swallowing, vector residue after memory deletion, Cloudflare Workers build failure, file attachment routing exceptions, and sub-agent loop boundaries. For teams that have already integrated the agent framework into their production process, these fixes are more tangible than just "one more feature" on the surface.

FAQs

Q: What are the core additions in 1.10.0?

A: Tool definitions support 'inputExamples', which makes it easier for models to make the correct tool calls.

Q: Why is RequestContext forwarding important?

A: It allows MCP tool requests to be authenticated in context, which is suitable for real business system access.

Q: Why can't this update be seen as just a feature upgrade?

A: Because it also fixes a number of underlying issues that affect the stability of the agent.

Q: Which teams will be paying special attention to this update?

A: Do the development team for agent frameworks, tool calls, and enterprise AI workflows.

Q: What changes does this message reflect?

A: Mastra began to put "whether the tool can be calibrated and whether the agent can run steadily" to a position that is ahead of the heap function.

Mastra releases 1.10. 0Upgrade tool input sample capability The new version of Mastra enhances MCP request context forwarding Mastra updates focus on agent framework stability and tool calls Mastra has released a new version to improve the accuracy of agent tool calls Mastra continues to fix streaming output and memory cleanup issues The new version of Mastra brings enterprise tool access closer to the real world The Mastra update reflects that the agent framework is starting to return to the underlying stability Mastra releases 1.10. 0. Strengthen tool definition and authentication links The new version of Mastra fixes the CloudflareWorkers build problem Mastra updates improve sub-agent loops and execution boundary control Mastra continues to enhance the request context and enterprise access experience The new version of Mastra optimizes the usability of the agent framework in production Mastra released an update to improve the implementation of complex tool links Mastra version iterations focus on the quality of model calls and tool collaboration The new version of Mastra continues to polish the vector cleanup after amnesia The Mastra update makes the agent framework more suitable for long-term managed runs Mastra released 1.10.0 to enhance the accuracy and stability of tool calls The new version of Mastra improves file attachment and routing exceptions Mastra updates explain that the agent framework competes to enter the deep water area of the project Mastra continues to push executable agents from demo to real systems

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