ZBS Index What actually exists in applied AI, with the source next to it

mcp server

PreClick — An MCP-native URL preflight scanning service for autonomous agents (formerly URLCheck).

PreClick scans links for threats and confirms intent match with high accuracy before agents click.

Description as published by the maintainer. Source

  • version 0.1.5
  • slowing

slowing — Most recent push to the repository was 2026-04-12.

What this server can do

6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

url_scanner_async_scan(url)
Submit a URL for asynchronous security analysis. Returns immediately with a task_id. Poll with url_scanner_async_task_status to check progress, then url_scanner_async_task_result to get the scan result. Async counterpart of url_scanner_scan for clients without native MCP Tasks support. Required: url.
url_scanner_async_scan_with_intent(url, intent)
Submit a URL with optional user intent for asynchronous security analysis. Returns immediately with a task_id. Poll with url_scanner_async_task_status to check progress, then url_scanner_async_task_result to get the scan result. Async counterpart of url_scanner_scan_with_intent for clients without native MCP Tasks support. Required: url.
url_scanner_async_task_result(task_id)
Retrieve the result of an asynchronous scan task. If completed, returns the full scan result (risk_score, confidence, agent_access_directive, etc.). If still running, returns status with retry_after_ms — call again after that interval. Non-blocking. Required: task_id.
url_scanner_async_task_status(task_id)
Check the status of an asynchronous scan task. Returns the current task status using native MCP task semantics (working, completed, failed, cancelled) without blocking. Use url_scanner_async_task_result to retrieve the result once completed. Required: task_id.
url_scanner_scan(url)
Analyze a URL for security threats (synchronous, blocks until complete or timeout). Returns risk score, confidence, agent access guidance, and intent_alignment (always not_provided for this tool; use url_scanner_scan_with_intent for intent context). For long-running scans, prefer url_scanner_async_scan which returns immediately with a task_id for polling via url_scanner_async_task_result. Required: url.
url_scanner_scan_with_intent(url, intent)
Analyze a URL for security threats with optional user intent context (synchronous, blocks until complete or timeout). Returns risk score, confidence, agent access guidance, and intent_alignment. For long-running scans, prefer url_scanner_async_scan_with_intent which returns immediately with a task_id for polling via url_scanner_async_task_result. Required: url.

Last successful function declaration observed on . Source: https://urlcheck.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://urlcheck.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 6 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-04-12 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 1 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.5 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-03-10 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License Apache-2.0 Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-03-10 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 6 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe urlcheck.ai
mcp endpoint status ok The server listed 6 functions when asked. as of probe urlcheck.ai

Where to get it

Related, by what their authors tagged them

These share tags the maintainers applied themselves, such as agentic-ai, agentic-workflow, ai-workflow, automation. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agentic-ai, agentic-workflow, ai, ai-agents, ai-workflow, automation, cybersecurity, langchain, openclaw, url, url-scanner, urlscanner, workflow.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. cybrlab-ai/preclick-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  3. Tools declared by the MCP server at https://urlcheck.ai/mcp — urlcheck.ai, observed , trust tier 1.