MCP profile

Github Chrbailey Promptspeak

Pre-execution governance for AI agents. Validates tool calls before they execute.

Developer ToolsPackageJavaScript/TypeScriptOpen SourceExternal

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Last updated

March 16, 2026

Visibility

Public

ByRegistry

About This MCP Server

Every tool call passes through this pipeline. If any stage fails, execution is blocked.

Stages 1-6 are pre-execution — the tool never runs if any check fails. Stages 8-9 are post-execution — they detect drift and can halt the agent for future calls.

What Problems It Solves

You run AI agents that call tools (MCP servers, function calling, tool use) and need a governance layer between the agent and the tools.
You need human-in-the-loop approval for high-risk operations (production deployments, financial transactions, legal filings).
You want to detect behavioral drift — an agent gradually shifting away from its assigned task.
You need an audit trail of every tool call an agent attempted, whether it was allowed or blocked.
You operate in a regulated domain (legal, financial, healthcare) where agent actions must be deterministically constrained.

Specifications

Status

live

Industry

Developer Tools

Requirements

Node.js >= 20.0.0
TypeScript 5.3+ (build from source)
No external services required — SQLite for symbols, in-memory for everything else

Hosting

Hosting Options

Package

API

Integrate this server into your application. Choose a connection method below.

Configure

Configuration

json

{
  "mcpServers": {
    "promptspeak": {
      "command": "npx",
      "args": ["promptspeak-mcp-server"]
    }
  }
}

Performance

Usage

Quick Reference

Name: Github Chrbailey Promptspeak
Function: Pre-execution governance for AI agents. Validates tool calls before they execute.
Transport: Package
Language: JavaScript/TypeScript
Source: External (Registry)
License: Open Source