# OntoRamp Graph Query

> Use this tool when you need to efficiently query complex systems and architectures, as it provides a structured approach to retrieving relevant information while considering governance constraints and system dependencies. The OntoRamp Graph Query tool solves problems related to evidence-based decision-making, system integration, and knowledge retrieval. It takes in queries and system architectures as inputs and outputs relevant data and evidence, making it ideal for use cases that require informed decision-making and system analysis.

Canonical page: https://skillsregistry.net/skills/com-ontoramp-graph-query  
JSON: https://api.skillsregistry.net/v1/skills/com-ontoramp-graph-query

## Description

Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.ontoramp%2Fgraph-query)
- **Repository:** <https://github.com/MatthewDavisAIArchitect/ontoramp-graph-query>

## Use it

MCP endpoint published by the skill: `https://ontoramp-graph-query.fly.dev/mcp`

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": "com-ontoramp-graph-query"
    }
  }
}
```

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