# Fixzi MCP server

> Use this tool when you need to monitor and validate AI output schemas and API contracts for breaking changes, ensuring data consistency and reliability. It solves problems related to schema drift and API contract violations by validating LLM JSON responses against defined schemas on a schedule. Ideal for use cases where data integrity and compatibility are crucial, such as in AI model deployment and integration workflows.

Canonical page: https://skillsregistry.net/skills/rohitcodilya-fixzi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rohitcodilya-fixzi-mcp

## Description

Monitor AI output schemas and API contracts for breaking changes — validate LLM JSON responses against defined schemas on a schedule

## 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:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ornhquowy1)
- **Repository:** <https://github.com/rohitcodilya/fixzi-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": "rohitcodilya-fixzi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rohitcodilya-fixzi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rohitcodilya-fixzi-mcp/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