# seclai-mcp

> seclai-mcp — seclai-seclai-mcp. Use this tool when you need to integrate AI coding tools with Seclai, enabling management of agents, knowledge bases, and content sources from various providers like Claude and Cursor. It solves problems of fragmented AI toolsets and limited content source control through the Model Context Protocol (MCP). This tool accepts inputs from multiple AI tools and outputs a unified management interface, ideal for use in development environments with diverse AI integrations.

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

## Description

Connect AI coding tools to Seclai via Model Context Protocol (MCP) — manage agents, knowledge bases, and content sources from Claude, Cursor, Windsurf, and more

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/seclai/seclai-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": "seclai-seclai-mcp"
    }
  }
}
```

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