# MonkeyLLM

> MonkeyLLM — jimmywesley-monkeyllm. Use this tool when you need to transform your documents into a navigable knowledge graph for AI agents, solving problems of information retrieval and multi-hop question answering. It takes in documents and spreadsheets as input and outputs curated summaries, typed edges, and cited answers, with an interface that supports SQL queries and git versioning. Ideal for use cases where local, self-hostable knowledge management is required, such as building custom AI models or integrating with existing Python applications.

Canonical page: https://skillsregistry.net/skills/jimmywesley-monkeyllm  
JSON: https://api.skillsregistry.net/v1/skills/jimmywesley-monkeyllm

## Description

Knowledge engine for AI agents: your documents become a git-versioned markdown knowledge graph the agent navigates over MCP. Curated summaries, typed edges, cited answers, SQL over your spreadsheets, no chunking. Same 12B local model: 0/11 on multi-hop questions as top-k RAG, 11/11 as a navigator. Python, Apache-2.0, self-hostable.

## Trust

- **Trust score (0–1):** 0.12
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/JimmyWesley/MonkeyLLM)

## 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": "jimmywesley-monkeyllm"
    }
  }
}
```

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