MCP Agent Sentinel
๐ก๏ธ MCP Agent Sentinel (mcp-agent-sentinel)
Real-time Proactive Sentinel & Breaking-Change Intelligence Server for Autonomous AI Agents
Compatible with Cursor IDE, Hermes, Claude Desktop, LangChain, AutoGen, and Windsurf
๐ Why MCP Agent Sentinel?
Most AI agents rely on reactive search APIs (like Tavily or Exa) where the agent has to guess what to search for. If an SDK introduces a breaking change or deprecates an API parameter, your agent won't know until your production code breaks.
MCP Agent Sentinel is a proactive context server that continuously monitors ArXiv, GitHub Repositories, SDK Release Notes (MCP, OpenAI, Anthropic, Google), and Web sources. It injects clean, pre-classified intelligence and breaking change alerts directly into your agent's context window before issues occur.
๐ ๏ธ MCP Tools Exposed
Tool | Description | Key Parameters |
๐จ | Real-time technical news, releases & breaking change alerts |
|
๐ | Fast full-text semantic search on the curated live feed |
|
๐ | Executive markdown briefing for sub-niches (e.g. AI Engineering) |
|
๐ก | Live health, timestamp & processing metrics of all scrapers | N/A |
๐ฅ Persona-Based Context Filters
Data is automatically indexed and served according to consumer personas:
๐ ๏ธ
dev: Code diffs, breaking changes, SDK updates (@modelcontextprotocol/sdk), deprecations & bug fixes.๐
product: Pricing matrices, token efficiency, LLM benchmarks & feature availability.๐
investor: Frontier ArXiv research papers, agentic framework adoption & cloud distribution deals.๐ฃ
creator: Trending GitHub repos, viral AI tools & hooks for newsletters/youtube.
โ๏ธ Client Setup Configurations
Option 1: Zero-Install Cloud Endpoint (Smithery 24/7)
Connect directly to the hosted server without running local Node.js processes:
Smithery Server URL:
https://mcp.smithery.run/rmicael
{
"mcpServers": {
"mcp-agent-sentinel": {
"url": "https://mcp.smithery.run/rmicael"
}
}
}Option 2: Run via NPX (Recommended for Local Dev)
1. Claude Desktop App Setup
Locate your Claude Desktop configuration file:
๐ช Windows:
%APPDATA%\Claude\claude_desktop_config.json๐ macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Add mcp-agent-sentinel:
{
"mcpServers": {
"mcp-agent-sentinel": {
"command": "npx",
"args": ["-y", "mcp-agent-sentinel@latest"]
}
}
}2. Cursor IDE Setup
Add under Cursor Settings -> Features -> MCP Servers:
Name:
mcp-agent-sentinelType:
commandCommand:
npx -y mcp-agent-sentinel@latest
3. Antigravity IDE & Hermes Setup
Add to your ~/.gemini/config/mcp_config.json or ~/.hermes/config/mcp_config.json:
{
"mcpServers": {
"mcp-agent-sentinel": {
"command": "npx",
"args": ["-y", "mcp-agent-sentinel@latest"]
}
}
}Option 3: Build from Source
# 1. Clone repository
git clone https://github.com/rmikael7/mcp-agent-sentinel.git
cd mcp-agent-sentinel
# 2. Install & Build
npm install
npm run build
# 3. Add to your MCP config using the built file:
# command: "node"
# args: ["/path/to/mcp-agent-sentinel/dist/index.js"]๐งช Interactive Live Demo
Test the live feed parser right from your terminal:
# Interactive Persona Visualizer
npm run demo
# Verify Cursor/IDE Setup
npm run verify-cursor๐ License & Maintainers
Repository: github.com/rmikael7/mcp-agent-sentinel
Glama.ai Hub: glama.ai/mcp/servers/rmikael7/mcp-agent-sentinel
Smithery Cloud: smithery.ai/server/rmicael
Maintainers: Agent Principal Core Team
License: MIT License