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Autonomous Corporate Intelligence MCP

Autonomous Corporate Intelligence MCP

🚀 VirajVerse — Forensic AI Company Researcher (Part 6)

World's Best AI Company Researcher for Pre-Meeting Forensic Intelligence. Deconstruct any company to the atomic level before walking into high-stakes executive meetings, sales pitches, investment reviews, or strategic partnership negotiations.


💎 6-Pillar Forensic Spectrum & Executive Dossier

Pillar

Focus Areas

Forensic Capabilities

1. Basic Company DNA

Founders, Leadership, HQ, Size, Industry, Age

Extracts legal entity, founder pedigrees, executive organogram, headcount growth rates, and history.

2. Business & Monetization

What they sell, Who buys, Revenue model, Clients

Maps core offerings, ICP & buyer personas, pricing tiers, enterprise logos, and ARR estimates.

3. Product & User Sentiment

Current products, Roadmap, Weaknesses, Complaints

Mines public roadmaps, architectural bottlenecks, and real user complaints from G2, Reddit, and Trustpilot.

4. Technology & AI Detective

Tech stack, AI usage, APIs, Infra, Automation

Detects frontend/backend/cloud frameworks, live LLM integrations, API protocols (REST/GraphQL), and DevOps.

5. Strategy & Expansion

Launches, Partnerships, Hiring, Funding, M&A

Tracks 2024–2026 releases, alliances, open hiring signals, total capital raised, cap table, and M&A deals.

6. Competitive Landscape

Battlecard, Moats, Where they lag behind

Identifies direct/indirect competitors, defensible USPs, and deal-breaking vulnerability gaps.

7. Pre-Meeting Intelligence

Icebreakers, Talking points, Landmines, 10x Questions

Generates tailored executive icebreakers, landmine warnings on what NOT to say, and high-IQ deep questions.


Related MCP server: FundzWatch MCP Server

⚡ Core Engine & Architecture

  • LLM Engine: NVIDIA NIM (https://integrate.api.nvidia.com/v1) using meta/llama-3.1-70b-instruct and meta/llama-3.1-8b-instruct.

  • Scraping Swarm:

    • Firecrawl API / MCP: Clean markdown web crawling and recursive sub-page discovery.

    • Playwright Headless Scraper: JavaScript DOM hydration, single-page application rendering, and screenshot capture.

    • Multi-Query Web Search: Parallel multi-dimensional search aggregator.

    • Tech Signature Detector: Automated HTML, HTTP headers, CDN, and DNS signature analyzer.

  • Frontend Dashboard: Vite + React 19 + TypeScript + Cyber-Executive Glassmorphic Dark UI + Real-Time SSE Terminal.

  • Storage: SQLite Database (researcher.db) for caching, history, side-by-side comparison, and 1-click PDF/Markdown exports.


🛠️ Quick Start

1. Launch with One Command

python run.py

(Or double-click start.bat on Windows)

2. Manual Start

Backend:

cd backend
.\venv\Scripts\uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload

Frontend:

cd frontend
npm run dev

Open your browser at http://localhost:5173.


🔌 MCP (Model Context Protocol) Integration

The project includes mcp_config.json configured for:

  • firecrawl-mcp: Clean markdown extraction and web crawling.

  • @executeautomation/playwright-mcp-server: Dynamic browser automation.


📡 REST & Streaming API Endpoints

  • POST /api/research/stream: Real-time Server-Sent Events (SSE) stream for live agent execution logs and final report.

  • POST /api/research/sync: Synchronous execution returning full structured JSON report.

  • GET /api/dossiers: List all saved company dossiers in SQLite.

  • GET /api/dossiers/{id}: Fetch complete dossier by ID.

  • GET /api/export/{id}/markdown: Generate and download formatted markdown briefing.

  • GET /api/models: List available NVIDIA NIM models.

  • GET /api/mcp/status: Check Firecrawl and Playwright MCP server statuses.

Maintenance

ActivityInactive
ResponsivenessNo issues

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