AI Agent Infrastructure // Model Context Protocol

Equip Claude Desktop, Cursor, and AI agents with live corporate intelligence.

Run autonomous KYB registry queries, multi-jurisdiction UBO unwraps, AML sanctions sweeps, and crypto forensics directly from natural language prompts using the official @sluxia/diliguard-mcp package.

How Diliguard MCP works.

The Model Context Protocol (MCP) is an open standard that allows AI models to call external tools and databases directly. Instead of writing custom API integration scripts, you connect the official Diliguard MCP server to your local workspace.

Once connected, your AI assistant can execute complex, multi-source compliance investigations from simple prompts such as:

“Run a complete corporate KYB check on Airbus SE in France, identify all beneficial owners with more than 10 percent equity, and verify whether any directors appear on international sanctions watchlists.”

Local Machine Execution

The MCP server runs locally on your machine via npx. There are no intermediate proxy servers between your AI client and the Diliguard backend.

Secure Environment Variables

Your DILIGUARD_API_KEY is stored securely in your local environment file and passed directly to api.diliguard.com over TLS encryption.

Dynamic Schema Discovery

Your AI model reads tool signatures, parameter schemas, and return structures automatically upon connection.

Available AI tools in @sluxia/diliguard-mcp.

When the Diliguard MCP server is active, your AI assistant gains access to 9 specialized intelligence tools:

Tool IdentifierCapabilities & Data Sources Queried
run_corporate_kycQueries LEI registry, beneficial ownership across 16 jurisdictions, OFAC/UN sanctions, adverse media, offshore leaks, domain DNS, and VAT status.
run_person_traceScreens individual targets across PEP databases, Interpol notices, court judgments, adverse media, leaked credentials, and email OSINT.
run_crypto_investigationAnalyzes cryptocurrency wallet balances, transaction timing, illicit mixer exposure, and cluster counterparty risks across 10+ blockchains.
run_vendor_riskConcurrently screens supplier lists for registry active status, regulatory fines, beneficial ownership changes, and litigation records.
run_ultimate_fraudExecutes an end-to-end composite fraud investigation combining corporate entity checks, executive traces, domain footprints, and bank routing validation.
run_aml_pep_screeningPerforms institutional AML screening across 140+ international sanctions lists, PEP tiers, and regulatory enforcement databases.
run_registry_checkVerifies official government registration records, registered office addresses, active filing status, and offshore tax haven links.
run_ip_intelligenceAnalyzes IP addresses for proxy services, VPNs, Tor exit nodes, hosting data centers, and geographic anomalies.
run_transaction_scoringEvaluates real-time payment transactions by synthesizing counterparty IP intelligence, email reputation, dark web breaches, and IBAN validation.

Setup instructions for Claude Desktop.

To connect Claude Desktop to the Diliguard MCP server, add the configuration block to your local Claude configuration file.

Configuration File Locations

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Configuration JSON Block

{
  "mcpServers": {
    "diliguard": {
      "command": "npx",
      "args": ["-y", "@sluxia/diliguard-mcp"],
      "env": {
        "DILIGUARD_API_URL": "https://api.diliguard.com",
        "DILIGUARD_API_KEY": "YOUR_PERSONAL_API_KEY"
      }
    }
  }
}

After saving the configuration file, restart Claude Desktop. The Diliguard intelligence tools will appear in Claude’s active tool roster.

Testing with the official MCP Inspector.

You can debug your MCP connection, inspect input schemas, and execute test payloads in a local browser UI using the official Model Context Protocol Inspector tool:

DILIGUARD_API_URL="https://api.diliguard.com" DILIGUARD_API_KEY="YOUR_PERSONAL_API_KEY" npx @modelcontextprotocol/inspector npx -y @sluxia/diliguard-mcp

The inspector provides an interactive web interface at http://localhost:5173 where you can trigger tool calls and inspect raw JSON output directly.

Next steps for AI developers.

Agent Skills Reference

Learn how to compose specialized multi-agent workflows and compliance pipelines using Diliguard skill specifications.

View agent skills catalogue →

REST API Reference

Review standard HTTP request structures, parameter types, response envelopes, and error codes for all 23 endpoints.

Read REST API reference →

Connect Diliguard intelligence to your AI workspace today.

Generate your API key on the Diliguard portal, configure Claude Desktop, and run your first autonomous investigation.