# codesteward-graph

> codesteward-graph — codesteward-codesteward-graph. Use this tool when you need to analyze and query the structural relationships within code repositories, as it parses code into a graph database and provides a query interface for lexical, referential, semantic, and dependency insights. It solves problems related to code understanding, navigation, and search, and accepts git repositories as input, outputting query results through the MCP tool interface. It is particularly useful in contexts where AI agents require a deep understanding of code structure and relationships.

Canonical page: https://skillsregistry.net/skills/codesteward-codesteward-graph  
JSON: https://api.skillsregistry.net/v1/skills/codesteward-codesteward-graph

## Description

Structural code graph server for AI agents — parses repositories into a Neo4j graph via tree-sitter and exposes it as an MCP tool interface with lexical, referential, semantic, and dependency queries.

## Trust

- **Trust score (0–1):** 0.43
- **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/Codesteward/codesteward-graph)

## 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": "codesteward-codesteward-graph"
    }
  }
}
```

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

---
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