# inspect-logs-mcp

> Use this tool when you need to analyze and explore UK Government BEIS inspect_ai evaluation logs to gain insights into conversation histories and evaluation summaries. It solves problems related to log management and analysis, providing capabilities to list logs, view summaries, and inspect specific samples. The tool accepts log data as input and outputs detailed summaries and conversation histories, making it ideal for use cases involving log analysis and debugging in AI model evaluation.

Canonical page: https://skillsregistry.net/skills/pranshusrivastava-inspect-logs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pranshusrivastava-inspect-logs-mcp

## Description

Enables LLMs to explore and analyze UK Government BEIS inspect_ai evaluation logs directly from tools like Claude Code and Cursor. It provides capabilities to list logs, view evaluation summaries, and inspect conversation histories for specific samples.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hzocdvulyq)
- **Repository:** <https://github.com/PranshuSrivastava/inspect-logs-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": "pranshusrivastava-inspect-logs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pranshusrivastava-inspect-logs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pranshusrivastava-inspect-logs-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