Vala-Fi MCP Server

A Bloomberg Terminal you can talk to. Query company relationships — suppliers, customers, competitors, supply chain paths — directly from Claude, Cursor, or any MCP-compatible AI assistant.

Every relationship is extracted from SEC 10-K filings. Every edge has a citation. No black boxes.

Why This Exists

Bloomberg Terminal costs $24,000/year. FactSet starts at $12,000. PitchBook won't even show you pricing without a sales call.

Vala-Fi gives you the same company relationship data for free.

We extract supplier, customer, and competitor relationships from SEC 10-K annual filings using AI — the same source of truth that institutional investors rely on. The difference: you get it as a structured API with graph traversal, not a 200-page PDF.

5,200+ companies. 8,000+ relationships. 11 sectors. Free during beta.

Related MCP server: Bytemine MCP Server - Contact Search & Enrich

Quick Start

1. Get a free API key

Sign up at valafi.dev/signup — takes 10 seconds, no credit card.

2. Configure your AI assistant

Remote Server (Recommended — zero install)

No packages to install. Just paste the config and go.

Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "vala-fi": {
      "url": "https://mcp.valafi.dev/mcp",
      "headers": {
        "X-API-Key": "vfi_your_key_here"
      }
    }
  }
}

Cursor — add to .cursor/mcp.json:

{
  "mcpServers": {
    "vala-fi": {
      "url": "https://mcp.valafi.dev/mcp",
      "headers": {
        "X-API-Key": "vfi_your_key_here"
      }
    }
  }
}

Windsurf / Claude Code — same config format as above.

Local Server (Alternative — runs on your machine)

If you prefer running the server locally (required for Claude Desktop):

{
  "mcpServers": {
    "vala-fi": {
      "command": "/full/path/to/uvx",
      "args": ["vala-fi-mcp"],
      "env": {
        "VALAFI_API_KEY": "vfi_your_key_here"
      }
    }
  }
}

Find your uvx path by running which uvx in your terminal. Requires Python 3.10+ and uv.

3. Start asking questions

That's it. Your AI assistant now has access to a financial knowledge graph.

Available Tools

Prompts

Pre-built prompt templates you can invoke directly:

Resources

What You Can Do

Ask your AI assistant questions like:

• "Who are Apple's top suppliers?"

• "Find the connection between Tesla and NVIDIA"

• "What companies depend on TSMC as a sole supplier?"

• "Show me all competitors of Microsoft mentioned in SEC filings"

• "What's the supply chain risk for my portfolio: AAPL, MSFT, GOOGL?"

Every answer comes with the SEC filing citation so you can verify it yourself.

Use Cases

Solo Developer / Indie Hacker

You're building a stock analysis tool and need to understand company relationships without paying for a Bloomberg Terminal. Vala-Fi gives you structured supply chain data through a simple API.

AI Agent Builder

You're building an autonomous research agent that needs to answer questions like "What happens to Apple if TSMC has a production issue?" Plug in Vala-Fi as an MCP tool and your agent can traverse the financial graph.

Quantitative Researcher

You're modeling supply chain risk or building factor models that incorporate inter-company dependencies. Query the graph programmatically and get SEC-cited evidence for every relationship.

Due Diligence Analyst

You're evaluating an acquisition target and need to quickly map their supplier/customer network. One API call gives you the full picture with citations.

Financial Content Creator

You're writing analysis and need to verify company relationships. Instead of reading 10-K filings manually, query the graph and get the exact excerpt.

Free Tier Limits

Need more? Contact us.

Example Session

You: Who are NVIDIA's main suppliers according to SEC filings?

Claude: Based on NVIDIA's SEC 10-K filings, here are their key suppliers:

1. **TSMC** (TSM) - Primary foundry partner manufacturing NVIDIA's GPUs
   "Taiwan Semiconductor Manufacturing Company Limited manufactures
   our GPUs and Tegra processors..." — NVIDIA 10-K

2. **Samsung Electronics** - Secondary foundry for certain chip production
   "Samsung manufactures different different different different..." — NVIDIA 10-K

3. **Amkor Technology** (AMKR) - Packaging and testing services
   "We use third-party foundries, including TSMC and Samsung,
   and packaging and test providers such as Amkor..." — NVIDIA 10-K

Direct API Usage (Without MCP)

Don't need an AI assistant? Use the REST API directly:

# Get Apple's suppliers
curl -H "X-API-Key: vfi_your_key" \
  https://api.valafi.dev/v1/company/AAPL/supply-chain

# Find path between Tesla and NVIDIA
curl -H "X-API-Key: vfi_your_key" \
  https://api.valafi.dev/v1/path/TSLA/NVDA

# Get supply chain risk for a company
curl -H "X-API-Key: vfi_your_key" \
  https://api.valafi.dev/v1/exposure/AAPL

Full API documentation: valafi.dev/docs

Data Source

All relationship data is extracted from SEC 10-K annual filings using AI. We do not scrape news, social media, or third-party databases.

• Source: SEC EDGAR

• Coverage: 5,200+ public companies across 11 GICS sectors

• Update frequency: As new 10-K filings are published (primarily Q1 and Q3)

• Relationship types: supplier, customer, competitor, partner, and more

Links

• Website: valafi.dev

• API Docs: valafi.dev/docs

• Get API Key: valafi.dev/signup

• Pricing: valafi.dev/pricing

License

MIT — use it however you want.