mcpbeat

SENTINEL MCP Server

io.github.teodorofodocrispin-cmyk/sentinel-mcp
local only

SENTINEL runs on your own machine — the client starts it, so there is no endpoint to ping. 80 installs a week from pypi.

Pre-execution safety oracle for AI agents. Screens Base contracts, simulates sells, pays via x402.

Installs per day peak 663 · avg 63 · -90% w/w
a month agotoday
80
Installs / week
pypi · sentinel-mcp
Stars
on GitHub
Last commit
0 releases in 90 days
License
language unknown

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add sentinel-mcp -- uvx sentinel-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "sentinel-mcp": {
      "args": [
        "sentinel-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.sentinel-mcp]
command = "uvx"
args = ["sentinel-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "sentinel-mcp": {
      "args": [
        "sentinel-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "sentinel-mcp": {
      "args": [
        "sentinel-mcp"
      ],
      "command": "uvx"
    }
  }
}

SENTINEL — questions

Answers built from our own checks of this server.

Why is there no uptime for SENTINEL?
SENTINEL runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package sentinel-mcp was installed 80 times last week.
How do I connect SENTINEL?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls sentinel-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use SENTINEL?
The pypi package sentinel-mcp was installed 80 times in the last week. Week over week that is -90%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.