# failmodes-mcp

> Use this tool when you need to identify and retrieve potential failure modes of AI systems, covering aspects such as factuality, alignment, and planning. It provides search and retrieval functionality from the Fail Modes taxonomy, helping to address issues related to AI system reliability and safety. The tool accepts queries and returns relevant failure modes, making it useful for AI developers and testers to anticipate and mitigate potential failures.

Canonical page: https://skillsregistry.net/skills/elyngved-failmodes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/elyngved-failmodes-mcp

## Description

MCP server that provides search and retrieval of AI system failure modes from the Fail Modes taxonomy, covering factuality, alignment, planning, and more.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

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

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