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All digests tagged Protocol Design
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Jan Čurn argues that MCP criticism stems from naive client implementations, not the protocol. He details fixes like progressive tool discovery and Code Mode, advocating for MCP for remote access and CLIs for local agent interaction.
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Hugging Face's MCP server reveals that out of 10M protocol messages, only 62K are useful tool calls. Learn why stateful protocols are chatty and how Web MCP shifts agent focus from pixels to capabilities.
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Prefect is a Python DSL for building interactive UIs within the MCP ecosystem. It allows Python engineers to compose complex, data-driven interfaces (tables, forms, charts) by nesting components, bypassing the need for traditional frontend code.
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The Agent Client Protocol (ACP) proposes a universal standard for client-to-harness communication in AI. By standardizing the interface using JSON RPC, ACP allows multiple client applications to drive the same agent, making the entire agentic stack modular and interoperable.
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Cornelia Davis explores MCP Tasks v2, detailing how the protocol achieves durability for long-running workflows while remaining stateless. She contrasts V1's complexity with V2's simplified polling model.
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MCP is transitioning to a stateless architecture, eliminating session state dependencies. Key updates include Multi Roundtrip Requests (MRTR), formal extensions for UI/Tasks, and enhanced OAuth adherence.
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MCP Tasks enable durable, long-running asynchronous work for agents. The specification evolves from V1 (stateful) to V2 (stateless core), solving critical scaling issues inherent in distributed systems.
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