# SFDC-MCP-Security-Toolkit

> SFDC-MCP-Security-Toolkit — ccmalcom-sfdc-mcp-security-toolkit. Use this tool when you need to test the security of your Salesforce MCP integration against various adversarial attacks. It solves problems related to vulnerability assessment and penetration testing by seeding records with attack payload categories, such as prompt injection and encoding bypasses. It takes no inputs and outputs seeded records across Account, Contact, Case, and Outreach Log objects, making it ideal for security testing and compliance use cases.

Canonical page: https://skillsregistry.net/skills/ccmalcom-sfdc-mcp-security-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/ccmalcom-sfdc-mcp-security-toolkit

## Description

**Adversarial MCP integration testing toolkit for Salesforce — seeds ~270 records across Account, Contact, Case, and Outreach Log with 14 attack payload categories including prompt injection, honeytoken leakage, encoding bypasses, and cross-tenant boundary probes.**

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/ccmalcom/SFDC-MCP-Security-Toolkit)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ccmalcom-sfdc-mcp-security-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ccmalcom-sfdc-mcp-security-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ccmalcom-sfdc-mcp-security-toolkit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt