Sg Company Lookup Mcp

Name: Sg Company Lookup Mcp
Author: vdineshk

@vdineshk

Repository

About Sg Company Lookup Mcp

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "sg-company-lookup-mcp": {
      "url": "https://sg-company-lookup-mcp.sgdata.workers.dev/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Sg Company Lookup Mcp?

Sg Company Lookup Mcp is an MCP server that provides Singapore government company data for AI agents, including UEN validation, ACRA lookups, officer data, and SSIC codes. It is part of the Dominion ecosystem and registered on the Dominion Observatory, a behavioral trust registry that tracks interaction history, success rates, and latency for trust scoring.

How to use Sg Company Lookup Mcp?

This MCP server can be integrated into any MCP-compatible client. It is available for installation (via npm or Smithery) and can be queried using the MCP protocol. The server is also used with the x402 trust-provider extension to gate payments based on its behavioral trust score from the Dominion Observatory.

Key features of Sg Company Lookup Mcp

UEN validation for Singapore entities
ACRA company lookups and officer data
SSIC code retrieval
Behavioral trust scoring via Dominion Observatory
Payment gating integration with x402 protocol

Use cases of Sg Company Lookup Mcp

AI agents verifying company registration details for due diligence
Automating ACRA data retrieval for compliance workflows
Trusted agent-to-agent payment settlement using behavioral scores
LangChain agent pipelines using the TrustGateTool

FAQ from Sg Company Lookup Mcp

Comments

More Other MCP servers

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K