# mcp-kg-skills

> Use this tool when you need to manage and compose reusable Python functions, or dynamically execute scripts with automated dependency management. It solves problems related to code reuse, secret protection, and environment variable management, by providing a knowledge graph interface to input functions, documentation, and variables, and outputting executable scripts. Ideal for use cases involving complex workflow automation, data processing, or machine learning pipelines.

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

## Description

Manages a Neo4j knowledge graph of reusable Python functions, documentation, and environment variables, enabling dynamic script composition and execution with automatic dependency management and secret protection.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ezgmz26xny)
- **Repository:** <https://github.com/fkesheh/mcp-kg-skills>

## 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": "fkesheh-mcp-kg-skills"
    }
  }
}
```

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