Sequential Thinking MCP Server
Dynamic problem-solving through sequential thought chains
Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
{
"mcpServers": {
"io-github-fishcoco-code-guardrly-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
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Last commit 0 days ago.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
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Dynamic problem-solving through sequential thought chains
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
The official Python SDK for Model Context Protocol servers and clients
An open-source AI agent that brings the power of Gemini directly into your terminal.
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mcp-name: io.github.fishcoco-code/guardrly-mcp
Website: guardrly.com
Guardrly is a non-invasive AI Agent operation monitoring layer that intercepts, records, and alerts on every API call an AI Agent makes to external platforms - giving users full visibility into what their Agent did, when, and why.
# Mac / Linux
curl -fsSL https://guardrly.com/install.sh | bash
# Windows (PowerShell)
iwr https://guardrly.com/install.ps1 | iex
# Install dependencies
poetry install
# Copy environment template
cp .env.example .env
# Edit .env with your credentials
# Run API server
poetry run uvicorn api.main:app --reload
MIT License. See LICENSE for details.