# REDACTED

> Use this tool when you need to reconcile architectural and operational data between different systems, such as Orbus Infinity and ServiceNow CMDB. It emulates these systems as MCP endpoints, enabling comparison and synchronization of data on a shared synthetic dataset. This tool is ideal for use cases where data consistency and accuracy across multiple systems are crucial.

Canonical page: https://skillsregistry.net/skills/jjayaprarathbones-reconciliationtestmcp  
JSON: https://api.skillsregistry.net/v1/skills/jjayaprarathbones-reconciliationtestmcp

## Description

Emulates Orbus Infinity and ServiceNow CMDB as two MCP endpoints on a shared synthetic dataset to enable a reconciliation agent to compare architectural and operational data.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cnbsnksef1)
- **Repository:** <https://github.com/jjayaprarathbones/reconciliationTestMCP>

## 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": "jjayaprarathbones-reconciliationtestmcp"
    }
  }
}
```

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