# Shreg compiler

> Shreg compiler — shreg-ai-compiler. Use this tool when you need to compile and query complex knowledge graphs, solving problems of information retrieval and concept searching in large datasets. The Shreg compiler takes an Obsidian knowledge graph as input and outputs a queryable MCP server, enabling AI agents to search concepts, retrieve nodes, and access related information. It is ideal for use cases requiring efficient knowledge graph querying and analysis.

Canonical page: https://skillsregistry.net/skills/shreg-ai-compiler  
JSON: https://api.skillsregistry.net/v1/skills/shreg-ai-compiler

## Description

Compiles an Obsidian knowledge graph into a queryable MCP server, allowing AI agents to search concepts, get nodes, and retrieve related information.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kwnd4ppqh8)
- **Repository:** <https://github.com/Shreg-ai/compiler>

## 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": "shreg-ai-compiler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shreg-ai-compiler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shreg-ai-compiler/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