Zenable
Clean up sloppy AI code and prevent vulnerabilities
How to connect
Same URL, five paste targets. Tools indexed · Auth required. Not a safe-to-install badge. Handshake this URL
Paste into Settings → MCP or .cursor/mcp.json.
{
"mcpServers": {
"zenable": {
"url": "https://zenable.run.tools"
}
}
}
Settings → Connectors → Add → Custom → Web. Paste the URL. Enable in a new chat.
Claude → Settings → Connectors → Add → Custom → Web
Name: Zenable
URL: https://zenable.run.tools
OAuth only if this server requires it.
Save, start a new chat, enable the connector.
Developer mode custom connector. ChatGPT cannot reach localhost.
Settings → Apps & Connectors → Advanced → Developer mode ON
Create custom connector
Name: Zenable
MCP server URL: https://zenable.run.tools
Auth: none unless the server requires OAuth
New chat → + → Developer mode → enable the connector
Register the HTTPS URL, then claude mcp list.
claude mcp add --transport http zenable \
https://zenable.run.tools
Pass on session/new as mcpServers when the agent advertised HTTP MCP.
[
{
"type": "http",
"name": "zenable",
"url": "https://zenable.run.tools"
}
]
Paste into a README or docs site. The widget loads snippets from Influzer — still not a SAFE badge.
Same handshake clock as this listing (overlay / warm / seed; live tools/list only if that is missing). Indigo is live_ok, amber is auth_required, gray is unreachable. Not a SAFE badge. Stdio listings have no badge.
[](https://www.influzer.ai/mcp/probe?url=https%3A%2F%2Fzenable.run.tools)
<div data-influzer-install="zenable"></div>
<script async src="https://www.influzer.ai/embed/install.js"></script>
https://www.influzer.ai/embed/mcp/zenable.md
Recipes using this server
No published recipes yet for this server.
Listing quality
Observable facts from our catalog and daily probe — not a safe-to-install badge.
- Surface
- Tools indexed
- Live handshake
- Auth required
- Auth gate
- Auth gate
- Tools source
- tools/list (live)
Observable catalog + probe facts — not a safe-to-install badge.
Tools
(1)-
conformance_checkCheck conformance for a list of files. The maximum number of files per request is 5. If you need to process more files, split the request into multiple requests. Input: list_of_files (list[dict[path: str, content: str]]): The list of files to get checked for conformance, including the path and content of each file. The content should be the full content of the file. Returns: A structured response with the conformance check results.
Tool source: tools/list (live) · last probed 2026-10-17