# Agent Accountability MCP Server

> Agent Accountability MCP Server — princeruhulofficial-mcp-agent-accountability-20260726. Use this tool when you need to monitor and evaluate AI agent performance, ensuring accountability and transparency in their actions. It solves problems related to agent reliability, anomaly detection, and risk assessment by logging actions, computing reliability scores, and generating audit reports. Ideal for use in applications where agent trustworthiness is critical, such as high-stakes decision-making or sensitive data processing.

Canonical page: https://skillsregistry.net/skills/princeruhulofficial-mcp-agent-accountability-20260726  
JSON: https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-accountability-20260726

## Description

Logs AI agent actions, computes reliability scores, generates audit reports, detects anomalies, and estimates risk to ensure agent accountability.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pghl4fhjgl)
- **Repository:** <https://github.com/princeruhulofficial/mcp-agent-accountability>

## 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": "princeruhulofficial-mcp-agent-accountability-20260726"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-accountability-20260726` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-accountability-20260726/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