Crawleo MCP: MCP server, setup and security

What Crawleo MCP does

According to its repository: “Real-time web search and crawling via the Crawleo Search and Crawl API.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Crawleo MCP is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #109 by stars.

Installing and connecting Crawleo MCP

Distribution modes declared in the official MCP registry:

• remote server (streamable-http): you connect to it by URL, with nothing to install locally

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Crawleo MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on November 18, 2025, the Crawleo/Crawleo-MCP repository has 11 stars and 4 forks, with 0 open issues. It has more stars than 28% of the servers in the directory. Last change 10 months ago. Version published in the registry: 1.0.0 (December 31, 2025).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.