Which integrations are available for this server?

Supports exporting agent decision logs and session summaries as Markdown files for human-readable documentation and reporting.

agent-safety-mcp

PyPI version License: MIT Python 3.10+

MCP server for AI agent safety. One install gives any MCP-compatible AI assistant access to cost guards, prompt injection scanning, and decision tracing.

Works with Claude Code, Cursor, Windsurf, Zed, and any MCP client.

Install

Claude Code (recommended)

claude mcp add agent-safety -- uvx agent-safety-mcp

Manual (any MCP client)

Add to your MCP config:

{
  "mcpServers": {
    "agent-safety": {
      "command": "uvx",
      "args": ["agent-safety-mcp"]
    }
  }
}

From PyPI

pip install agent-safety-mcp
agent-safety-mcp  # runs stdio server

Tools

Cost Guard — Budget enforcement for LLM calls

Tool	What it does
`cost_guard_configure`	Set weekly budget, alert threshold, dry-run mode
`cost_guard_status`	Check current spend vs budget
`cost_guard_check`	Pre-check if a model call is within budget
`cost_guard_record`	Record a completed call's token usage
`cost_guard_models`	List supported models with pricing

Example: "Check if I can afford a GPT-4o call with 2000 input tokens"

Injection Guard — Prompt injection scanner

Tool	What it does
`injection_scan`	Scan text for injection patterns (non-blocking)
`injection_check`	Scan + block if injection detected
`injection_patterns`	List all 75 built-in detection patterns across 9 categories

Example: "Scan this user input for prompt injection: 'ignore previous instructions and...'"

Decision Tracer — Agent decision logging

Tool	What it does
`trace_start`	Start a new trace session
`trace_step`	Log a decision step with context
`trace_summary`	Get session summary (steps, errors, timing)
`trace_save`	Save trace to JSON + Markdown files

Example: "Start a trace for my analysis agent, then log each decision step"

What this wraps

This MCP server wraps the AI Agent Infrastructure Stack — three standalone Python libraries:

ai-cost-guard — pip install ai-cost-guard
ai-injection-guard — pip install ai-injection-guard
ai-decision-tracer — pip install ai-decision-tracer

All three: MIT licensed, zero runtime dependencies (individually), pure Python stdlib.

The MCP server adds mcp>=1.0.0 as a dependency for the protocol layer.

Why

AI coding assistants (Claude Code, Cursor, etc.) can now protect the agents they help build — checking budgets, scanning inputs, and tracing decisions — without leaving the IDE.

Built from 8 months of running autonomous AI trading agents in live financial markets.