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docs/development/roadmap.mdx

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description: Our plans for evolving Model Context Protocol
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<Info>Last updated: **2025-03-27**</Info>
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<Info>Last updated: **2025-07-22**</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](/specification/2025-06-18/changelog/)**.
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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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## Agents
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As MCP increasingly becomes part of agentic workflows, we're focusing on key improvements:
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- **Asynchronous Operations**: supporting long-running operations that may take extended periods, with resilient handling of disconnections and reconnections
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## Authentication and Security
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We're evolving our authorization and security model to support more complex use cases:
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- **Enhanced Authorization**: improving OAuth implementation and exploring new authorization patterns
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- **Secure User Interactions**: developing mechanisms for sensitive data collection and authentication flows
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- **Enterprise Support**: addressing the needs of enterprise deployments and managed environments
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## Validation
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To foster a robust developer ecosystem, we plan to invest in:
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- **Reference Client Implementations**: demonstrating protocol features with high-quality AI applications
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- **Reference Server Implementation**: showcasing authentication patterns and remote deployment best practices
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- **Compliance Test Suites**: automated verification that clients, servers, and SDKs properly implement the specification
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These tools will help developers confidently implement MCP while ensuring consistent behavior across the ecosystem.
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We plan to develop an [**MCP Registry**](https://github.com/orgs/modelcontextprotocol/discussions/159) that will enable centralized server discovery and metadata. This registry will primarily function as an API layer that third-party marketplaces and discovery services can build upon.
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## Agents
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As MCP increasingly becomes part of agentic workflows, we're exploring [improvements](https://github.com/modelcontextprotocol/specification/discussions/111) such as:
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- **[Agent Graphs](https://github.com/modelcontextprotocol/specification/discussions/94)**: enabling complex agent topologies through namespacing and graph-aware communication patterns
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- **Interactive Workflows**: improving human-in-the-loop experiences with granular permissioning, standardized interaction patterns, and [ways to directly communicate](https://github.com/modelcontextprotocol/specification/issues/97) with the end user
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## Multimodality
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Supporting the full spectrum of AI capabilities in MCP, including:
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- **Additional Modalities**: video and other media types
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- **[Streaming](https://github.com/modelcontextprotocol/specification/issues/117)**: multipart, chunked messages, and bidirectional communication for interactive experiences
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## Governance
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We're implementing governance structures that prioritize:
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- **Community-Led Development**: fostering a collaborative ecosystem where community members and AI developers can all participate in MCP's evolution, ensuring it serves diverse applications and use cases
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- **Transparent Standardization**: establishing clear processes for contributing to the specification, while exploring formal standardization via industry bodies
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## Get Involved
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We welcome your contributions to MCP's future! Join our [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions) to share ideas, provide feedback, or participate in the development process.

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