For developers using AI agents + MCP
MCP gives your AI agent tools that read files, run commands, and hit the network. SigmaShake decides what they’re allowed to do.
The Model Context Protocol lets agents call external tools, and that tool surface is the highest-risk path for a coding agent: a compromised or malicious MCP server, or a prompt injection routed through one, can make your agent read secrets, exfiltrate data, or run destructive commands. SigmaShake evaluates every tool call, whether MCP or shell, before it runs.
Trust the tools less; gate them instead
You can’t audit every MCP server you connect. SigmaShake sits at the tool-call boundary and applies your rules to each call: ALLOW the safe, DENY the catastrophic, ASK the dual-use, or FORCE a safe substitute, deterministically and locally before execution. Honest-agent / integration-dependent: a call that is not routed through the integration is not evaluated. Not a sandbox.
Works with your stack
Governs tool calls across Claude Code, Cursor, Codex and MCP-compatible assistants, with a signed audit log of every decision. SigmaShake also ships its own MCP server for remote rule evaluation.
30 seconds to protected
1. Install
curl -fsSL install.sigmashake.com | sh -s -- -y2. Wire it in
ssg initRunning -y accepts the Terms of Service. See the MCP integration docs.