# promptspeak-mcp-server

> Use this tool when you need to govern and control AI agent actions, ensuring compliance with policies and minimizing risks. The promptspeak-mcp-server provides pre-execution validation, audit trails, and risk scoring, allowing for hold queues and policy enforcement. It takes in AI agent actions as input and outputs validated or blocked actions, making it ideal for use cases requiring strict governance and control.

Canonical page: https://skillsregistry.net/skills/chrbailey-promptspeak-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chrbailey-promptspeak-mcp-server

## Description

Pre-execution governance for AI agents. 45 MCP tools for hold queues, audit trails, risk scoring, and policy enforcement. Validates agent actions before they execute.

## Trust

- **Trust score (0–1):** 0.90
- **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/cvbjbxeut6)
- **Repository:** <https://github.com/chrbailey/promptspeak-mcp-server>

## 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": "chrbailey-promptspeak-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrbailey-promptspeak-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrbailey-promptspeak-mcp-server/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