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Merge pull request modelcontextprotocol#1999 from strato-space/fix/spec-links
Fix MCP spec links
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blog/content/posts/2025-12-19-mcp-transport-future.md

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### Elicitations and Sampling
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Two MCP features are central to a few of the modern AI workflows: [Elicitations](https://spec.modelcontextprotocol.io/specification/2025-11-25/client/elicitation), which request human input, and [Sampling](https://spec.modelcontextprotocol.io/specification/2025-11-25/client/sampling), which enable agentic LLM interactions.
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Two MCP features are central to a few of the modern AI workflows: [Elicitations](https://modelcontextprotocol.io/specification/2025-11-25/client/elicitation), which request human input, and [Sampling](https://modelcontextprotocol.io/specification/2025-11-25/client/sampling), which enable agentic LLM interactions.
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Supporting these features at scale requires rethinking the bidirectional communication pattern they rely on. Currently, when a server needs more information to complete a tool call, it suspends execution and waits for a client response, requiring it to track all outstanding requests.
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docs/development/roadmap.mdx

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We value community participation! Each section links to relevant discussions where you can learn more and contribute your thoughts.
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For a technical view of our standardization process, visit the [Standards Track](https://github.com/orgs/modelcontextprotocol/projects/2/views/2) on GitHub, which tracks how proposals progress toward inclusion in the official [MCP specification](https://spec.modelcontextprotocol.io).
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For a technical view of our standardization process, visit the [Standards Track](https://github.com/orgs/modelcontextprotocol/projects/2/views/2) on GitHub, which tracks how proposals progress toward inclusion in the official [MCP specification](https://modelcontextprotocol.io/specification/).
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## Priority Areas for the Next Release
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