Limitguard
Trust Intelligence API - entity screening, sanctions, risk scoring, IBAN validation, and compliance checks via MCP
README
LimitGuard MCP Server
Trust Intelligence for AI agents. Entity verification, sanctions screening, and risk scoring via the Model Context Protocol.
Server URL: https://api.limitguard.ai/mcp
Transport: Streamable HTTP (POST)
Auth: x402 micropayment protocol (pay-per-call, no API key needed)
Tools
| Tool | Description | Inputs |
|---|---|---|
check_entity |
Full entity trust check — KVK/CBE registry, sanctions, domain, risk scoring | entity_name (required), country (required), kvk_number, domain |
check_agent |
Verify AI agent identity and reputation before inter-agent transactions | agent_id (required), agent_name (required) |
trust_score |
Get entity trust score (0-100) with cluster assignment and recommendation | entity_id (required) |
verify_wallet |
Verify blockchain wallet address, on-chain activity and risk flags | wallet_address (required), chain_id |
risk_score |
Quick risk score for entity name + country pair | entity_name (required), country (required) |
Pricing
All tools are priced via x402 micropayments (USDC on Base or Solana):
| Endpoint | Price |
|---|---|
| Entity Check | $0.85 |
| Risk Score | $0.65 |
| Check Agent | $0.10 |
| Trust Score | $0.10 |
| Verify Wallet | $0.10 |
No API key, no subscription. Your AI agent pays per call with USDC.
Quick Start
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"limitguard": {
"type": "url",
"url": "https://api.limitguard.ai/mcp"
}
}
}
Cursor
Add to MCP settings:
{
"limitguard": {
"type": "url",
"url": "https://api.limitguard.ai/mcp"
}
}
Smithery
npx -y @smithery/cli install @limitguard/trust-intelligence
Any MCP Client
Connect to https://api.limitguard.ai/mcp using Streamable HTTP transport (POST).
Discovery Endpoints
| Endpoint | URL |
|---|---|
| MCP Tools | /.well-known/mcp.json |
| x402 Pricing | /.well-known/x402.json |
| Health | /health |
Use Cases
- KYC/KYB Automation — AI agents verify business entities before transactions
- Sanctions Screening — Check entities against OpenSanctions watchlists
- Agent-to-Agent Trust — Verify counterparty agent reputation before collaboration
- Wallet Verification — Check blockchain wallet risk before on-chain transactions
- Due Diligence — Automated entity research with trust scoring
Security
- HTTPS with TLS 1.3
- x402 payment protocol (no stored credentials)
- GDPR-compliant (EU-hosted, data minimization)
- All tools are read-only (no data modification)
- Rate limited per payment (abuse-proof)
Links
- Website: limitguard.ai
- Status: status.limitguard.ai
- MCP Registry: ai.limitguard.api/trust-intelligence
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.