How do I install the shrike mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `SHRIKE_API_KEY`, `SHRIKE_BACKEND_URL` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Shrike MCP Server

MCP server for action governance on AI agents — 14 tools that govern tool calls, SQL queries, file writes, shell commands, and agent-to-agent

Local serverstdioPython

What is the Shrike MCP Server?

MCP server for action governance on AI agents — 14 tools that govern tool calls, SQL queries, file writes, shell commands, and agent-to-agent messages server-side

What the server does

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.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
scan_prompt	User/system prompts before LLM processing
scan_response	LLM outputs before returning to user
scan_sql_query	SQL queries before database execution
scan_file_write	File paths and content before write
scan_command	CLI commands before shell execution
scan_web_search	Search queries before execution
scan_a2a_message	Agent-to-agent messages before processing
scan_agent_card	A2A AgentCard metadata before trusting
scan_mcp_schema	MCP tool definitions before trusting them
check_approval	Human-in-the-loop approval status
report_bypass	User-reported missed detections
reset_session	Clear session correlation state
session_status	Read-only lookup of L9 session state
scan_declare_scope	Declared operating scope for task-scoped agents

How to install the Shrike MCP Server

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

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

“Use Shrike MCP to scan prompt.”
“Use Shrike MCP to scan response.”
“Use Shrike MCP to scan sql query.”

Frequently asked questions

MCP server for action governance on AI agents — 14 tools that govern tool calls, SQL queries, file writes, shell commands, and agent-to-agent messages server-side Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.