# Invariance MCP

> Use this tool when you need to investigate issues and analyze agent behavior through natural language queries of traces, monitors, and signals. It solves problems related to debugging, monitoring, and evaluation dataset management by providing a connection to the Invariance observability platform. The Invariance MCP tool accepts natural language inputs and outputs actionable insights and data, making it ideal for use cases where AI assistants require observability and analysis.

Canonical page: https://skillsregistry.net/skills/invariance-ai-invariance-mcp  
JSON: https://api.skillsregistry.net/v1/skills/invariance-ai-invariance-mcp

## Description

Connects AI assistants to the Invariance observability platform, enabling natural language queries of traces, monitors, and signals to investigate issues and analyze agent behavior. Supports debugging, monitoring, and evaluation dataset management through Claude Desktop, Cursor, and Claude Code.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gog998qrex)
- **Repository:** <https://github.com/Hardik-Singh/invariance-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": "invariance-ai-invariance-mcp"
    }
  }
}
```

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