# io.github.KryptosAI/mcp-observatory

> Use this tool when you need to perform regression testing on MCP servers, invoking tools and checking capabilities to detect schema drift and ensure system integrity. It solves problems related to system validation, compatibility, and data consistency, providing outputs on system capabilities and potential issues. Ideal for use in development, testing, and deployment contexts where MCP server reliability is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-kryptosai-mcp-observatory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kryptosai-mcp-observatory

## Description

Regression testing for MCP servers. Checks capabilities, invokes tools, detects schema drift.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.KryptosAI%2Fmcp-observatory)
- **Repository:** <https://github.com/KryptosAI/mcp-observatory>

## 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": "io-github-kryptosai-mcp-observatory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kryptosai-mcp-observatory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kryptosai-mcp-observatory/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