# sf-graph

> Use this tool when you need to integrate Salesforce data with graph-based analytics or AI applications, as it maps Salesforce metadata into a Neo4j graph database, solving data querying and schema complexity problems. It takes Salesforce metadata as input and outputs a graph database, enabling AI agents to generate accurate SOQL queries. This tool is ideal for use cases requiring complex data relationships and querying in Salesforce environments.

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

## Description

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/va3l9ccbjh)
- **Repository:** <https://github.com/nwant/sf-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": "nwant-sf-graph"
    }
  }
}
```

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