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chrbailey/promptspeak-mcp-server

by Various

Pre-execution governance for AI agents. Sub-millisecond tool call validation, drift detection, circuit breakers, human-in-the-loop holds. 829 tests. 56 MCP tools.

C

MCP

chrbailey/promptspeak-mcp-server

Added 1 June 2026

#agent-governance #ai-governance #mcp #mcp-server #model-context-protocol #pre-execution-blocking #typescript

Overview

chrbailey/promptspeak-mcp-server provides pre-execution governance for AI agents. It performs sub-millisecond tool call validation, drift detection, circuit breakers, and human-in-the-loop holds. The TypeScript server includes 829 tests and supports 56 MCP tools.

Best for

Best for
Developers building MCP-based agents that need pre-execution governance and safety checks

Use cases

  • Validate tool calls before they execute
  • Detect and respond to agent behavior drift
  • Pause execution for human approval when needed

Notes

chrbailey/promptspeak-mcp-server provides pre-execution governance for AI agents. It performs sub-millisecond tool call validation, drift detection, circuit breakers, and human-in-the-loop holds. The TypeScript server includes 829 tests and supports 56 MCP tools.

0 stars on GitHub. Last updated 2026-04-20. Licensed MIT.

Use cases

  • Validate tool calls before they execute
  • Detect and respond to agent behavior drift
  • Pause execution for human approval when needed

Pros

  • Sub-millisecond validation latency
  • Comprehensive test suite (829 tests)
  • Multiple governance mechanisms integrated into one server

Cons

  • Zero GitHub stars may indicate limited community adoption
  • Requires existing MCP infrastructure to integrate
  • Additional governance step adds complexity to agent pipelines

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Sub-millisecond validation latency
  • Comprehensive test suite (829 tests)
  • Multiple governance mechanisms integrated into one server

Cons

  • Zero GitHub stars may indicate limited community adoption
  • Requires existing MCP infrastructure to integrate
  • Additional governance step adds complexity to agent pipelines
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