2025 AI Agents and the Model Context Protocol

BCG
arc beats above · slides in the middle · loops below · scroll → 9 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 2
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Deck intelligence map

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coverage by narrative range · generated from this deck JSON

Slide inventory

37
every slide · same image gating as the playbook
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Slide 1
front_matter
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The slide uses an illustration to explain the hub-and-spoke nature of the MCP protocol connecting a client to various data sources.establish_context
Open slide detailBeat · Situation & Context
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summarize
Open slide detailBeat · Situation & Context
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transition
Open slide detailBeat · Situation & Context
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The slide uses a maturity model framework to show the progression of AI capabilities.present_framework
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
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The slide uses a three-column layout to categorize the evolution of AI agents into community growth, framework development, and commercial proof-points.summarize
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
07
The slide uses a three-column layout to present distinct trends, each supported by metrics and visual evidence (screenshots/charts).summarize
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
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The slide uses a process-flow diagram to contrast linear, gate-based workflows with iterative, feedback-loop-based autonomous agents.compare_options
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
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The slide uses a three-tier architecture: Orchestration Agent, Human-Agent SCM Team, and Data/Tool Landscape.present_framework
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
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transition
Open slide detailBeat · Problem & Complication
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The slide uses a table to show growth metrics for specific companies and a process-oriented diagram to show maturity requirements.analyze_data
Open slide detailBeat · Problem & ComplicationLoop · Pattern Hunter
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The slide uses a mix of specific company case studies and a summary of BCG's own client work to validate the thesis.illustrate_case
Open slide detailBeat · Problem & ComplicationLoop · Pattern Hunter
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transition
Open slide detailBeat · Problem & Complication
14
The slide highlights the shift in AI benchmarking from simple tasks to complex, multi-turn, and robust agent evaluation.summarize
Open slide detailBeat · Problem & ComplicationLoop · Aha Moment
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The chart uses a logarithmic scale for task duration over time.quantify_impact
Open slide detailBeat · Problem & ComplicationLoop · Aha Moment
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The slide presents a proprietary BCG framework for AI agent evaluation.present_framework
Open slide detailBeat · Problem & ComplicationLoop · Capability Gap
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The slide uses a maturity model framework to map current AI agent capabilities against future requirements.diagnose
Open slide detailBeat · Problem & ComplicationLoop · Capability Gap
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transition
Open slide detailBeat · Solution & Approach
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The slide uses a layered architecture diagram to explain the MCP protocol stack.present_framework
Open slide detailBeat · Solution & ApproachLoop · Zoom In
20
The slide uses a process flow to explain the technical architecture of MCP.present_framework
Open slide detailBeat · Solution & ApproachLoop · Zoom In
21
The slide uses a numbered list format to map MCP's role against six identified agent capability gaps.diagnose
Open slide detailBeat · Solution & ApproachLoop · Zoom In
22
The chart uses a line graph to compare Github stars over time for various AI frameworks, highlighting MCP's steep growth trajectory.summarize
Open slide detailBeat · Solution & ApproachLoop · Why Now
23
The slide uses a before-and-after framing to illustrate the architectural benefit of Model Context Protocol (MCP).diagnose
Open slide detailBeat · Solution & ApproachLoop · Why Now
24
The slide uses a numbered list to map specific risks to a system architecture diagram.diagnose
Open slide detailBeat · Evidence & ProofLoop · Pre Mortem
25
The slide uses a layered architecture diagram to show the relationship between agents, A2A, and MCP servers.establish_context
Open slide detailBeat · Evidence & ProofLoop · Pre Mortem
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The slide uses a layered architecture diagram to illustrate the relationship between Agent Apps, the AI Platform, and LLM Providers.present_framework
Open slide detailBeat · Evidence & ProofLoop · Pre Mortem
27
The slide uses a visual equation (Agents + MCP) and lists five key implementation steps, concluding with a reference to the appendix.present_solution
Open slide detailBeat · Impact & Next StepsLoop · So What Cascade
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other
Open slide detailBeat · Impact & Next Steps
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Includes a list of co-authors and a footer showing the AI Platforms Group.other
Open slide detailBeat · Impact & Next Steps
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The slide uses a three-column layout to explain the accessibility and ecosystem of the Model Context Protocol.summarize
32
The slide uses a grid layout to categorize MCP servers into four columns: Enterprise software, Desktop automation, Productivity tools, and Software Dev/Ops toolpresent_solution
33
The diagram illustrates the interaction between Application Front-end, MCP Client, LLM, and MCP Servers/Systems, with numbered callouts corresponding to the lispresent_framework
Open slide detailLoop · Paradox Resolver
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The slide uses a visual comparison to illustrate architectural anti-patterns for MCP (Model Context Protocol) servers.compare_options
Open slide detailLoop · Paradox Resolver
35
Illustrates a technical workflow for AI agents using Model Context Protocol (MCP).present_solution
Open slide detailLoop · Paradox Resolver
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front_matter
37
front_matter