# SD Elements MCP Server

> Use this tool when you need to integrate AI models with the SD Elements security development lifecycle platform, enabling Large Language Models (LLMs) to interact with the platform's API for enhanced security and development capabilities. It solves problems related to secure coding and development by providing a Model Context Protocol (MCP) server for seamless integration. The server accepts LLM inputs and outputs relevant security development data through the SD Elements API.

Canonical page: https://skillsregistry.net/skills/iflow-mcp-sde-mcp  
JSON: https://api.skillsregistry.net/v1/skills/iflow-mcp-sde-mcp

## Description

A Model Context Protocol server that provides SD Elements API integration. This server enables LLMs to interact with SD Elements security development lifecycle platform.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lowmjcm3db)
- **Repository:** <https://github.com/iflow-mcp/sde-mcp>

## 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": "iflow-mcp-sde-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-sde-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iflow-mcp-sde-mcp/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