Autonomous Corporate Intelligence MCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
🚀 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) usingmeta/llama-3.1-70b-instructandmeta/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 --reloadFrontend:
cd frontend
npm run devOpen 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.
This server cannot be deployed
Maintenance
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