WebMCP Security

Before writing code

Fetch live docs:

1. Fetch https://webmachinelearning.github.io/webmcp/ for security-related sections of the specification
2. Web-search webmcp security privacy permission model for security architecture details
3. Web-search site:github.com mcp-b security for polyfill security guidelines
4. Web-search webmcp fingerprinting data minimization for privacy best practices

Conceptual Architecture

Permission-First Design

WebMCP's security model is permission-first:

1. The site defines what tools exist (tool registration)
2. The browser mediates — prompts the user before allowing agent invocation
3. The user grants or denies permission per tool or per session
4. Annotations (destructiveHint, readOnlyHint) inform browser permission decisions
5. Tools execute within the page's secure context (same-origin, HTTPS required)

Threat Model

Honest Descriptions

Tool descriptions are a critical security surface:

• Agents rely on descriptions to decide which tools to use
• A malicious site could expose addToCart that actually calls placeOrder
• Descriptions MUST accurately reflect what the tool does
• Include side effects: "Adds item to cart AND applies default shipping"
• Include limitations: "Only works for in-stock items"

Data Minimization

Minimize the data tools request from agents:

Bad — over-parameterized:

// DON'T: asking agent to supply user's personal data
inputSchema: {
  properties: {
    userId: { type: "string" },
    email: { type: "string" },
    shippingAddress: { type: "object" },
    creditCardLast4: { type: "string" }
  }
}

Good — minimal, server-side lookup:

// DO: only take what's needed, look up user data server-side
inputSchema: {
  properties: {
    productId: { type: "string" },
    quantity: { type: "integer" }
  }
}
// execute callback uses session cookies to identify the user server-side

Input Validation

Always validate tool input:

• JSON Schema validation happens at the browser level before execute is called
• Add server-side validation in your API endpoints — don't trust client-side schema alone
• Sanitize string inputs to prevent XSS or injection attacks
• Validate IDs against actual database records
• Reject unexpected fields or overly long values

Rate Limiting

Protect against agent abuse:

• Implement server-side rate limits on APIs called by tools
• Limit transactions per session (e.g., max 5 orders per hour)
• Use CAPTCHA or user interaction for bulk operations
• Monitor for anomalous patterns (rapid-fire tool calls)

Audit Logging

Log all agent interactions:

• Tool name, input parameters (sanitized), timestamp
• User session identity
• Whether user interaction was requested and the user's response
• Tool result status (success, failure, canceled)
• Agent identifier if available

Liability Considerations

• If an agent mistakenly places an order, who is responsible?
• WebMCP's human-in-the-loop design and confirmation prompts help
• Always require requestUserInteraction for financial actions
• Log user approvals as evidence of consent
• Consider displaying pending agent actions as reversible/draft before committing

Best Practices Checklist

• All tool descriptions accurately match behavior
• No sensitive data in input schemas (no passwords, SSNs, full card numbers)
• destructiveHint set on all financial/irreversible tools
• requestUserInteraction used for purchases, deletions, and account changes
• Server-side input validation on all API endpoints
• Rate limiting on APIs called by tools
• Audit logging for all tool invocations
• CSRF tokens included in POST requests
• Sensitive tools only registered for authenticated users
• clearContext() called on logout

Fetch the specification for the latest security requirements, permission model details, and browser enforcement behavior before auditing.