🛡️ 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

📌 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.

Related MCP server: agent immune

🛠️ MCP Tools Exposed

👥 Persona-Based Context Filters

Data is automatically indexed and served according to consumer personas:

• 🛠️ dev: Code diffs, breaking changes, SDK updates (@modelcontextprotocol/sdk), deprecations & bug fixes.

• 📊 product: Pricing matrices, token efficiency, LLM benchmarks & feature availability.

• 📈 investor: Frontier ArXiv research papers, agentic framework adoption & cloud distribution deals.

• 📣 creator: Trending GitHub repos, viral AI tools & hooks for newsletters/youtube.

⚙️ 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:

• 🪟 Windows: %APPDATA%\Claude\claude_desktop_config.json

• 🍎 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-sentinel

• Type: command

• Command: 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"]

🧪 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-cursor

📄 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