Ncp: MCP server, setup and security

What Ncp does

According to its repository: “Orchestrates all your MCP servers through tool discovery, reducing token overhead.”

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. Ncp is listed under Aggregators and gateways, a category of 141 servers in the directory, where it ranks #65 by stars.

Topics declared by the repository: ai-agents, claude, claude-desktop, gemini, mcp-client, openai.

Installing and connecting Ncp

Distribution modes declared in the official MCP registry:

• npm package (Node.js, usually started with npx)

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: TypeScript. Listed systems: macOS, Windows, Linux.

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.

Points found for Ncp:

• No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

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 September 15, 2025, the portel-dev/ncp repository has 100 stars and 9 forks, with 1 open issues. It has more stars than 67% of the servers in the directory. It received changes this month. Version published in the registry: 3.0.0 (October 19, 2026).

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