# engineering-knowledge-mcp

> engineering-knowledge-mcp — niallr12-engineering-knowledge-mcp. Use this tool when you need to access a shared engineering knowledge base to streamline development workflows and standardize internal conventions. It solves problems related to information fragmentation and inconsistent development setups by providing a centralized repository for API details, infrastructure configs, and coding standards. The tool accepts Markdown inputs and outputs formatted knowledge articles, making it ideal for coding agents seeking to create, update, or search engineering knowledge.

Canonical page: https://skillsregistry.net/skills/niallr12-engineering-knowledge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/niallr12-engineering-knowledge-mcp

## Description

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dtqmooj2ey)
- **Repository:** <https://github.com/niallr12/engineering-knowledge-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": "niallr12-engineering-knowledge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niallr12-engineering-knowledge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niallr12-engineering-knowledge-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