# legacy-mcp

> legacy-mcp — harsha-moparthy-legacy-mcp. Use this tool when you need to integrate AI agents with legacy enterprise systems, wrapping SOAP and stored-procedure backends with governed tools to enable safe and reliable operation. It solves problems of data consistency, transaction management, and load protection, providing a semantic data dictionary and compensation for transactionless writes. Ideal for use cases where AI agents must interact with legacy systems, it accepts inputs from AI workflows and outputs governed data interactions.

Canonical page: https://skillsregistry.net/skills/harsha-moparthy-legacy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/harsha-moparthy-legacy-mcp

## Description

Wraps a legacy SOAP + stored-procedure backend with governed MCP tools, including a semantic data dictionary, compensation for transactionless writes, and load protection, enabling AI agents to safely operate on enterprise systems.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7rjour5yd)
- **Repository:** <https://github.com/harsha-moparthy/legacy-mcp>

## 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": "harsha-moparthy-legacy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harsha-moparthy-legacy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harsha-moparthy-legacy-mcp/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