Shrike MCP

AI governance for every AI interaction. 12 MCP tools. Multi-layered cognitive pipeline. Works without an API key.

Shrike MCP is the Model Context Protocol server for Shrike. From employees using ChatGPT to autonomous agents executing code — Shrike evaluates every AI interaction in real-time with tools to scan prompts, responses, SQL queries, file writes, CLI commands, web searches, and agent-to-agent messages. Detects prompt injection, jailbreaks, data leakage, PII exposure, and multi-turn manipulation before they cause harm.

Shrike Platform

Shrike is the independent governance layer for AI interactions. It evaluates inputs, outputs, tool calls, and agent-to-agent communication through a multi-layered cognitive pipeline — from sub-millisecond pattern matching to LLM-powered semantic analysis and multi-turn session correlation. Governs employees using AI tools, developers using coding assistants, autonomous agents, and customer-facing chatbots through the same pipeline.

This repo is the MCP server — one of several ways to integrate:

Quick Start

Works immediately — no API key required. Anonymous usage gets L1-L5 pattern-based detection. Register for free to unlock LLM-powered semantic analysis.

1. Add to your MCP client config:

{
  "mcpServers": {
    "shrike-security": {
      "command": "npx",
      "args": ["-y", "shrike-mcp"]
    }
  }
}

2. (Optional) Add an API key for full pipeline access:

{
  "mcpServers": {
    "shrike-security": {
      "command": "npx",
      "args": ["-y", "shrike-mcp"],
      "env": {
        "SHRIKE_API_KEY": "your-api-key"
      }
    }
  }
}

Get a free key at shrikesecurity.com/signup — instant, no credit card.

3. Your agent now has 12 security tools. Every prompt, response, and tool call can be scanned before execution.

Twelve Tools

... View full README on GitHub