Expose Haystack pipelines as managed MCP tools

Haystack Enterprise Platform now supports the Model Context Protocol (MCP), allowing organizations to expose their data, retrieval, and agentic pipelines as managed tools usable across compatible AI clients such as ChatGPT, Claude, and Cursor. Rather than creating separate integrations for each assistant, teams can publish a pipeline once and let agents combine it with other internal pipelines or external tools for multi-step workflows, internal knowledge access, partner services, or customer-facing products. The platform manages MCP server hosting, authentication, scaling, availability, client configuration, access controls, usage tracking, and observability, with each MCP call recorded as a standard pipeline execution. Users can build a pipeline, expose it through the platform, connect an MCP client using generated configuration, and invoke the tool directly or as part of an agent workflow.

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