The Model Context Protocol (MCP) has emerged as one of the key building blocks of the agentic AI stack, serving as a common language for models to connect with external tools, files, and business systems.
Want an AI assistant to pull a file from Google Drive, query a company database, check a GitHub issue, or trigger an action in an internal app? That’s the kind of job MCP is meant to handle.
Now, the project’s new 2026 roadmap suggests the maintainers are turning their attention to a harder question: What needs to be fixed before MCP can…

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