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board-room-documents MCP: Enables Sage and Atlas to read, parse, and critique PDFs with the same rigor a $500/hour consultant would bring—but in seconds.Here's the uncomfortable truth: you're drowning in PDFs.
That pitch deck your co-founder sent at 11 PM. The 47-page vendor contract your lawyer marked "urgent." The stack of resumes for your first hire. The partnership proposal that "could change everything." Every document demands your attention, your expertise, and your time—three resources you definitively don't have in surplus.
Traditional solutions? Hire someone. Use a generic AI to "summarize" it. Or—let's be honest—skim it at 2x speed and hope you caught the important parts.
All three options are expensive. Two of them are dangerous.
The AI Board Room takes a different approach. When you upload a document to Sage (your legal advisor) or Atlas (your operations expert), you're not just getting OCR and a summary. You're activating the Document Reader MCP—a Model Context Protocol tool that transforms static PDFs into living strategic intelligence.
board-room-documents MCP Actually DoesLet's get technical for a moment, because the architecture matters.
The Document Reader MCP (board-room-documents) is a specialized tool that sits in the infrastructure layer of the AI Board Room. When you upload a PDF, here's what happens:
The MCP doesn't just extract text—it understands document structure. Headers, bullet points, financial tables, signature blocks, and appendices are parsed with semantic awareness. A pitch deck's "Market Size" slide is recognized as quantitative data. A contract's indemnification clause is flagged as legal risk territory.
This isn't magic. It's the Model Context Protocol doing what it was designed to do: giving AI agents structured access to external data sources with context preservation.
Here's where it gets interesting. Sage and Atlas don't read documents the same way.
Sage (your legal & compliance advisor) reads a pitch deck looking for:
Atlas (your operations expert) reads the same deck asking:
Both agents use modular Skills—expertise modules loaded from SKILL.md files—to apply domain-specific frameworks. Sage might invoke a "Venture Capital Due Diligence" skill. Atlas might load "Project Risk Assessment."
This is radical specialization at machine speed.
The Document Reader MCP doesn't operate in a vacuum. It pulls from your User Dossier—the persistent context file that knows your business stage, industry vertical, previous concerns, and strategic priorities.
Reviewing a SaaS contract? The MCP knows you're bootstrapped and hypersensitive to recurring costs. Evaluating a resume? It remembers you need someone who can handle ambiguity because you're pre-product-market-fit.
Context isn't just nice to have. It's the difference between generic feedback and genuinely useful strategic advice.
You're pitching a seed round next month. Your deck is "done," but you have that nagging feeling slide 8 doesn't land.
You upload the PDF to Sage via the AI Board Room. Within seconds:
The entire analysis took 90 seconds. A human consultant would need 3 days and charge $3,000.
A potential client sent a Master Services Agreement. It's 31 pages of legal prose, and your lawyer is on vacation.
You upload it to Atlas, specifying: "I'm concerned about liability caps and payment terms."
Atlas, using the Document Reader MCP:
Atlas then uses A2A protocol (Agent-to-Agent communication) to loop in Sage: "Given the user's current runway, is net-60 acceptable?" Sage, aware of your cash position from the User Dossier, recommends negotiating to net-30 or requesting a deposit.
You now have a negotiation strategy, not just a document summary.
You're hiring your first employee. Fifteen resumes sit in your inbox, each claiming to be "full-stack" and "entrepreneurial."
You batch-upload them to Atlas. The Document Reader MCP processes all fifteen in parallel, evaluating:
Atlas generates a ranked shortlist with specific questions to ask each candidate. The top candidate's profile includes: "Strong backend experience, but front-end claims are unsupported. Ask about React projects specifically."
You just saved 6 hours of resume review and made better hiring decisions.
The Model Context Protocol is the unsung hero here. Unlike brittle API integrations or prompt-stuffing hacks, MCP provides a standardized interface for AI agents to access tools and data sources.
The board-room-documents MCP exposes document reading as a first-class capability. Agents don't need to "see" PDFs—they query the MCP with specific intents ("extract financial projections," "identify risk clauses") and receive structured responses.
This architecture is deterministic and auditable. You can trace exactly what the agent read and why it reached specific conclusions.
The modular Skills system means document analysis improves over time. New expertise frameworks can be loaded without retraining models. A "YC Application Review" skill can be added. A "GDPR Compliance Check" skill can be invoked for European contracts.
This is the Google ADK (Agent Development Kit) philosophy in action: composable, deterministic, and reliable.
Document analysis is high-stakes. A missed clause or misinterpreted term can cost you money or relationships.
The Critic Agent reviews every document analysis output, checking for:
This is AI quality control for AI output. It's agents checking agents, and it dramatically reduces hallucination risk.
You don't have a legal team. You don't have a VP of Strategy. You don't have an HR department.
But you do have documents that require expert analysis. The Document Reader MCP gives you on-demand, context-aware, multi-perspective review of any PDF you encounter.
This isn't about replacing human judgment. It's about augmenting your decision-making capacity so you can focus on the calls only you can make.
The radical shift is this: document review stops being a time sink and becomes a strategic asset. Every PDF you upload trains the AI Board Room to understand your business better. The User Dossier gets richer. The feedback gets sharper.
The Document Reader MCP is version 1.0. The roadmap includes:
The vision is simple: no document should ever surprise you again.
Stop skimming. Stop guessing. Stop wasting your scarcest resource—attention—on document review that could be systematized.
The AI Board Room's Document Reader MCP is live at JobInterview.live. Upload your next pitch deck, contract, or resume stack. Let Sage and Atlas show you what you're missing.
Your board is waiting. The fine print doesn't stand a chance.
Try the AI Board Room now at JobInterview.live
