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docs/development/roadmap.mdx

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<Info>Last updated: **2025-03-27**</Info>
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The Model Context Protocol is rapidly evolving. This page outlines our current thinking on key priorities and direction for approximately **the next six months**, though these may change significantly as the project develops. To see what's changed recently, check out the **[specification changelog](https://spec.modelcontextprotocol.io/specification/2025-03-26/changelog/)**.
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The Model Context Protocol is rapidly evolving. This page outlines our current thinking on key priorities and direction for approximately **the next six months**, though these may change significantly as the project develops. To see what's changed recently, check out the **[specification changelog](/specification/2025-03-26/changelog/)**.
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<Note>The ideas presented here are not commitments—we may solve these challenges differently than described, or some may not materialize at all. This is also not an _exhaustive_ list; we may incorporate work that isn't mentioned here.</Note>
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docs/docs/concepts/architecture.mdx

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- Uses Server-Sent Events for server-to-client messages
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- HTTP POST for client-to-server messages
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All transports use [JSON-RPC](https://www.jsonrpc.org/) 2.0 to exchange messages. See the [specification](https://spec.modelcontextprotocol.io) for detailed information about the Model Context Protocol message format.
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All transports use [JSON-RPC](https://www.jsonrpc.org/) 2.0 to exchange messages. See the [specification](/specification/) for detailed information about the Model Context Protocol message format.
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### Message types
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docs/sdk/java/mcp-overview.mdx

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## Features
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- MCP Client and MCP Server implementations supporting:
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- Protocol [version compatibility negotiation](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/lifecycle/#initialization)
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- [Tool](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/tools/) discovery, execution, list change notifications
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- [Resource](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/resources/) management with URI templates
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- [Roots](https://spec.modelcontextprotocol.io/specification/2024-11-05/client/roots/) list management and notifications
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- [Prompt](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/prompts/) handling and management
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- [Sampling](https://spec.modelcontextprotocol.io/specification/2024-11-05/client/sampling/) support for AI model interactions
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- Protocol [version compatibility negotiation](/specification/2024-11-05/basic/lifecycle/#initialization)
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- [Tool](/specification/2024-11-05/server/tools/) discovery, execution, list change notifications
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- [Resource](/specification/2024-11-05/server/resources/) management with URI templates
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- [Roots](/specification/2024-11-05/client/roots/) list management and notifications
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- [Prompt](/specification/2024-11-05/server/prompts/) handling and management
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- [Sampling](/specification/2024-11-05/client/sampling/) support for AI model interactions
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- Multiple transport implementations:
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- Default transports (included in core `mcp` module, no external web frameworks required):
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- Stdio-based transport for process-based communication

docs/sdk/java/mcp-server.mdx

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### Tool Specification
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The Model Context Protocol allows servers to [expose tools](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/tools/) that can be invoked by language models.
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The Model Context Protocol allows servers to [expose tools](/specification/2024-11-05/server/tools/) that can be invoked by language models.
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The Java SDK allows implementing a Tool Specifications with their handler functions.
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Tools enable AI models to perform calculations, access external APIs, query databases, and manipulate files:
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### Prompt Specification
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As part of the [Prompting capabilities](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/prompts/), MCP provides a standardized way for servers to expose prompt templates to clients.
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As part of the [Prompting capabilities](/specification/2024-11-05/server/prompts/), MCP provides a standardized way for servers to expose prompt templates to clients.
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The Prompt Specification is a structured template for AI model interactions that enables consistent message formatting, parameter substitution, context injection, response formatting, and instruction templating.
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### Using Sampling from a Server
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To use [Sampling capabilities](https://spec.modelcontextprotocol.io/specification/2024-11-05/client/sampling/), connect to a client that supports sampling.
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To use [Sampling capabilities](/specification/2024-11-05/client/sampling/), connect to a client that supports sampling.
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No special server configuration is needed, but verify client sampling support before making requests.
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Learn about [client sampling support](./mcp-client#sampling-support).
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