# parallax-mcp

> parallax-mcp — sani-savaliya-parallax. Use this tool when you need to verify the accuracy of generated SQL or regex artifacts to prevent errors and ensure reliability. The parallax-mcp tool exposes a crosscheck server that takes generated artifacts as input and outputs verified results, solving problems related to data integrity and validation. It is particularly useful in development and testing contexts where trusted outputs are crucial.

Canonical page: https://skillsregistry.net/skills/sani-savaliya-parallax  
JSON: https://api.skillsregistry.net/v1/skills/sani-savaliya-parallax

## Description

Starts a server exposing a crosscheck tool to render-verify generated SQL or regex artifacts before trusting the result.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l0fb2wioip)
- **Repository:** <https://github.com/sani-savaliya/parallax>

## 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": "sani-savaliya-parallax"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sani-savaliya-parallax` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sani-savaliya-parallax/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