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gautam-u/sieve-mcp

by Various

MCP server for Sieve — local AI chat history secret scanner for macOS

G

MCP

gautam-u/sieve-mcp

Added 7 June 2026

Overview

This MCP server integrates with Sieve to scan local macOS AI chat history for secrets such as API keys or passwords. It runs as a JavaScript-based server using the Model Context Protocol, enabling automated secret detection within compatible workflows.

Best for

Best for
Developers on macOS who want to catch sensitive data leaks in their local AI chat logs.

Use cases

  • Audit local AI assistant conversations for leaked credentials
  • Integrate secret scanning into MCP-compatible developer toolchains
  • Detect exposed secrets in macOS app chat logs before committing code

Notes

This MCP server integrates with Sieve to scan local macOS AI chat history for secrets such as API keys or passwords. It runs as a JavaScript-based server using the Model Context Protocol, enabling automated secret detection within compatible workflows.

0 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Audit local AI assistant conversations for leaked credentials
  • Integrate secret scanning into MCP-compatible developer toolchains
  • Detect exposed secrets in macOS app chat logs before committing code

Pros

  • Lightweight JavaScript implementation with minimal dependencies
  • Designed specifically for macOS AI chat history scanning
  • Follows the Model Context Protocol for easy integration

Cons

  • Limited to macOS platform and AI chat histories
  • Zero stars suggests very early stage with limited community feedback
  • Requires an MCP-compatible environment to function

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

Pros

  • Lightweight JavaScript implementation with minimal dependencies
  • Designed specifically for macOS AI chat history scanning
  • Follows the Model Context Protocol for easy integration

Cons

  • Limited to macOS platform and AI chat histories
  • Zero stars suggests very early stage with limited community feedback
  • Requires an MCP-compatible environment to function