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Merge pull request #4 from redpanda-data/adp-mcp-servers-rewrite
docs(mcp-servers): rewrite MCP Servers pages for ADP GA
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local-antora-playbook.yml

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output:
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clean: true
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content:
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sources:
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- url: https://github.com/redpanda-data/adp-docs
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branches: main
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sources:
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- url: .
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branches: HEAD
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- url: https://github.com/redpanda-data/docs
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branches: [main, v/*, api, shared, site-search,'!v-end-of-life/*']
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branches: [main, v/*, shared, site-search,'!v-end-of-life/*']
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- url: https://github.com/redpanda-data/cloud-docs
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branches: feature/remove-ai-agents
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branches: main
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- url: https://github.com/redpanda-data/redpanda-labs
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branches: main
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start_paths: [docs,'*/docs']

modules/ROOT/nav.adoc

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**** xref:agents:tutorials/customer-support-agent.adoc[Customer support agent]
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**** xref:agents:tutorials/transaction-dispute-resolution.adoc[Transaction dispute resolution]
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* MCP Servers
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** xref:mcp:overview.adoc[Overview]
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*** Remote MCP
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**** xref:mcp:remote/overview.adoc[Overview]
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**** xref:mcp:remote/quickstart.adoc[Quickstart]
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**** xref:mcp:remote/concepts.adoc[Concepts]
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**** xref:mcp:remote/create-tool.adoc[Create tools]
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**** xref:mcp:remote/register-external.adoc[Register a self-hosted server]
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**** xref:mcp:remote/oauth-user-delegated.adoc[User-delegated OAuth]
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**** xref:mcp:remote/patterns.adoc[Patterns]
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**** xref:mcp:remote/best-practices.adoc[Best practices]
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**** xref:mcp:remote/manage-servers.adoc[Manage servers]
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**** xref:mcp:remote/monitor-mcp-servers.adoc[Monitor servers]
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**** xref:mcp:remote/scale.adoc[Scaling]
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**** xref:mcp:remote/troubleshooting.adoc[Troubleshooting]
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*** Local MCP
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**** xref:mcp:local/overview.adoc[Overview]
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**** xref:mcp:local/quickstart.adoc[Quickstart]
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**** xref:mcp:local/configuration.adoc[Configuration]
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** xref:mcp:index.adoc[Overview]
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** xref:mcp:create-server.adoc[Create a server]
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** xref:mcp:register-remote.adoc[Register a self-managed server]
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** xref:mcp:user-delegated-oauth.adoc[User-delegated OAuth]
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** xref:mcp:test-tools.adoc[Test a server's tools]
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** xref:mcp:managed-catalog.adoc[Managed catalog]
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*** xref:mcp:managed/sql.adoc[SQL]
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*** xref:mcp:managed/kafka.adoc[Kafka]
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*** xref:mcp:managed/slack.adoc[Slack]
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*** xref:mcp:managed/jira.adoc[Jira]
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*** xref:mcp:managed/openapi.adoc[OpenAPI]
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* Redpanda Cloud Management MCP Server
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** xref:mcp:local/index.adoc[Overview]
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** xref:mcp:local/quickstart.adoc[Quickstart]
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** xref:mcp:local/configuration.adoc[Configuration]
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* AI Gateway
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** xref:ai-gateway:overview.adoc[Overview]
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** xref:ai-gateway:gateway-quickstart.adoc[Quickstart]

modules/ROOT/pages/adp-overview.adoc

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= Redpanda Agentic Data Plane Overview
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:description: Enterprise-grade infrastructure for building, deploying, and governing AI agents at scale with compliance-grade audit trails.
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:page-aliases: redpanda-cloud:ai-agents:adp-overview.adoc
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// TODO: Add 'redpanda-cloud:ai-agents:adp-overview.adoc' to page-aliases after ai-agents is removed from cloud-docs
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:page-topic-type: overview
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:page-categories: Agentic Data Plane
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:personas: evaluator, ai_agent_developer, platform_admin
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With over 300 connectors and real-time debugging capabilities, you reduce integration time while getting enterprise-grade security. You can reuse your existing infrastructure and data sources rather than building new integrations from scratch.
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For more information, see xref:mcp:overview.adoc[MCP Servers Overview].
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For more information, see xref:mcp:index.adoc[MCP Servers Overview].
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== Transcripts
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== Next steps
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* xref:agents:overview.adoc[AI Agents Overview]
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* xref:mcp:overview.adoc[MCP Server Overview]
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* xref:mcp:index.adoc[MCP Server Overview]
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* xref:observability:concepts.adoc[Transcripts Overview]
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* xref:ai-gateway:overview.adoc[AI Gateway Overview]

modules/agents/pages/architecture-patterns.adoc

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* Tool descriptions compete for limited prompt space
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* The agent invokes wrong tools with similar names, wasting iteration budget on selection mistakes
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Limit tools per agent to 10-15 for optimal performance. Agents with more than 20-25 tools often show degraded tool selection accuracy. Use subagents to partition tools by domain. For tool design patterns, see xref:mcp:remote/patterns.adoc[].
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Limit tools per agent to 10-15 for optimal performance. Agents with more than 20-25 tools often show degraded tool selection accuracy. Use subagents to partition tools by domain. For tool design patterns, see xref:mcp:index.adoc[].
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=== Premature A2A splitting
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* xref:integration-overview.adoc[]
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* xref:a2a-concepts.adoc[]
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* xref:mcp:remote/patterns.adoc[]
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* xref:mcp:index.adoc[]
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* xref:overview.adoc[]
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* xref:mcp:remote/best-practices.adoc[]
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* xref:mcp:index.adoc[]

modules/agents/pages/concepts.adoc

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Choose granularity based on how often you'll reuse tool logic across workflows, whether intermediate results help with debugging, and how much control you want over tool invocation order.
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For tool design guidance, see xref:mcp:remote/best-practices.adoc[].
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For tool design guidance, see xref:mcp:index.adoc[].
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== Context and state management
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* xref:architecture-patterns.adoc[]
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* xref:quickstart.adoc[]
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* xref:system-prompts.adoc[]
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* xref:mcp:remote/best-practices.adoc[]
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* xref:mcp:index.adoc[]

modules/agents/pages/create-agent.adoc

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* A xref:redpanda-cloud:get-started:cluster-types/byoc/index.adoc[BYOC cluster].
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* xref:ai-gateway:gateway-quickstart.adoc[AI Gateway configured] with at least one LLM provider enabled.
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* At least one xref:mcp:remote/overview.adoc[Remote MCP server] deployed with tools.
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* At least one xref:mcp:index.adoc[Remote MCP server] deployed with tools.
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* System prompt prepared (see xref:system-prompts.adoc[System Prompt Best Practices]).
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== Access the agents UI
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* xref:integration-overview.adoc[]
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* xref:system-prompts.adoc[]
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* xref:mcp:remote/create-tool.adoc[]
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* xref:mcp:create-server.adoc[]
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* xref:architecture-patterns.adoc[]
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* xref:troubleshoot.adoc[]

modules/agents/pages/integration-overview.adoc

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| Agent needs capabilities
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| Your agent invokes MCP tools to fetch data, call APIs, or access external systems on-demand
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| Agent-initiated, synchronous, interactive workflows
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| xref:mcp:remote/patterns.adoc[]
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| xref:mcp:index.adoc[]
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| Pipeline processes events
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| Your Redpanda Connect pipeline invokes agents for each event in a stream using the `a2a_message` processor
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Avoid MCP tools for high-volume stream processing or automated workflows without user interaction. Use pipeline-initiated integration instead.
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For implementation details, see xref:mcp:remote/patterns.adoc[].
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For implementation details, see xref:mcp:index.adoc[].
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[[pipeline-processes-events]]
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=== Pipeline processes events (`a2a_message`)
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== Next steps
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* xref:a2a-concepts.adoc[]
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* xref:mcp:remote/patterns.adoc[]
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* xref:mcp:index.adoc[]
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* xref:pipeline-integration-patterns.adoc[]

modules/agents/pages/overview.adoc

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* *System prompt*: Defines the agent's role, responsibilities, and constraints
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* *LLM*: Interprets user intent and decides which tools to invoke
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* *Tools*: External capabilities exposed through the xref:mcp:remote/overview.adoc[Model Context Protocol (MCP)]
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* *Tools*: External capabilities exposed through the xref:mcp:index.adoc[Model Context Protocol (MCP)]
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* *Context*: Conversation history, tool results, and real-time events from Redpanda topics
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Agents can invoke Redpanda Connect components as tools on-demand. Redpanda Connect pipelines can also invoke agents for event-driven processing. This bidirectional integration supports both interactive workflows and automated streaming.
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== Key benefits
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A declarative approach means you configure agent behavior instead of coding it, with access to 300+ built-in Redpanda Connect connectors for data sources, APIs, and services. Real-time streaming data ensures agents access live events instead of batch snapshots. xref:mcp:remote/overview.adoc[Remote MCP] support enables standardized tool access. Managed infrastructure handles deployment, scaling, and security for you. Low-latency execution means tools run close to your data. Integrated secrets management securely stores API keys and credentials.
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A declarative approach means you configure agent behavior instead of coding it, with access to 300+ built-in Redpanda Connect connectors for data sources, APIs, and services. Real-time streaming data ensures agents access live events instead of batch snapshots. xref:mcp:index.adoc[Remote MCP] support enables standardized tool access. Managed infrastructure handles deployment, scaling, and security for you. Low-latency execution means tools run close to your data. Integrated secrets management securely stores API keys and credentials.
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== Use cases
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modules/agents/pages/pipeline-integration-patterns.adoc

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== Next steps
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* xref:mcp:remote/patterns.adoc[]
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* xref:mcp:index.adoc[]
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* xref:integration-overview.adoc[]
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* xref:a2a-concepts.adoc[]
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* xref:redpanda-cloud:develop:connect/components/processors/about.adoc[]

modules/agents/pages/quickstart.adoc

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* xref:ai-gateway:gateway-quickstart.adoc[AI Gateway configured] with at least one LLM provider enabled (OpenAI, Anthropic, or Google AI)
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* Completed the xref:mcp:remote/quickstart.adoc[Remote MCP Quickstart] to create an MCP server with the following tools deployed:
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* Completed the xref:mcp:create-server.adoc[Remote MCP Quickstart] to create an MCP server with the following tools deployed:
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** `generate_input`: Generates fake user event data
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** `redpanda_output`: Publishes data to Redpanda topics
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* xref:create-agent.adoc[]
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* xref:system-prompts.adoc[]
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* xref:architecture-patterns.adoc[]
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* xref:mcp:remote/patterns.adoc[]
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* xref:mcp:index.adoc[]

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