Overview of Sec‑MCP

Sec‑MCP is a dedicated Model Context Protocol (MCP) server that injects real‑time threat intelligence into AI assistant workflows. It exposes a suite of security‑checking tools that allow developers to query and manage a continuously updated blacklist of malicious domains, URLs, IP addresses, and other indicators. By integrating directly with MCP‑compatible clients such as Claude, Windsurf, or Cursor, the server enables LLMs to perform on‑the‑fly validation of web references and network endpoints without leaving the conversation.

The core problem Sec‑MCP solves is the latency and uncertainty that arise when an AI assistant relies on static or delayed threat feeds. Traditional approaches require developers to manually fetch threat lists, parse them, and embed the data into prompts or custom code. Sec‑MCP removes this friction by providing ready‑made endpoints that return up‑to‑date verdicts, cache results for speed, and expose administrative controls for fine‑grained blacklist management. This means an assistant can answer questions like “Is this URL safe?” or “Has this IP appeared in recent phishing campaigns?” with a single, reliable API call.

Key capabilities are grouped into several categories:

• Validation tools (, ) that return a pass/fail status for individual or multiple values.
• Analytics endpoints (, , ) that expose metadata such as entry counts, source origins, and update timestamps.
• Administrative controls (, , , ) that let operators maintain the blacklist and refresh data on demand.
• Health monitoring () to ensure the database and scheduler are operational.

Typical use cases span from content moderation bots that must vet user‑submitted links, to automated incident response systems that validate threat indicators before triggering alerts. In a compliance setting, an LLM can reference to demonstrate that its checks are sourced from reputable feeds. Because the server runs locally and communicates via MCP, latency is minimal and data never leaves the organization unless explicitly exported.

Sec‑MCP’s standout advantage lies in its tight coupling with MCP: the server declares its tools in a machine‑readable format, and clients can discover and invoke them without hardcoding URLs or payload structures. This plug‑and‑play model accelerates development, reduces boilerplate, and guarantees that the AI’s security context is always backed by a live, curated threat database.