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Security · MCP server

Shellward: MCP server, setup and security

Shellward is an open-source MCP server that lets an AI agent detect prompt injections and sensitive data while blocking prohibited commands. Its repository has 139 stars and its last commit is from September 28, 2026 and it is licensed under Apache-2.0.

Actively maintained

What Shellward does

According to its repository: “Agent security middleware with layered defenses: prompt injection detection, DLP data flow tracking, command blocking and PII detection.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Shellward is listed under Security, a category of 133 servers in the directory, where it ranks #29 by stars.

Topics declared by the repository: openclaw, prompt-injection, security, ai-agent, ai-security, llm-security.

Installing and connecting Shellward

Distribution modes declared in the official MCP registry:

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

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Shellward. 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 March 12, 2026, the jnMetaCode/shellward repository has 139 stars and 23 forks, with 1 open issues. It has more stars than 72% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.11 (March 23, 2026).

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

World MonitorWorld Monitor : 89.4K89.4KSemgrepSemgrep : 17.2K17.2KIda pro MCPIda pro MCP : 13.1K13.1KGhidraMCP (LaurieWired)GhidraMCP (LaurieWired) : 11.5K11.5KRobin: AI Powered Dark Web ORobin: AI Powered Dark Web O : 7.7K7.7KJadx ai MCPJadx ai MCP : 2.9K2.9KPower BI Authoring MCP ServePower BI Authoring MCP Serve : 1.2K1.2KSafeDep Vet MCPSafeDep Vet MCP : 1.1K1.1KShellwardShellward : 139139
GitHub stars of the most followed servers in the category (log scale); Shellward in orange. Checked October 25, 2026.

Verdict

Shellward is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install Shellward?

Shellward is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of jnMetaCode/shellward.

Is Shellward free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Shellward safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by jnMetaCode on GitHub. Check who maintains it before giving it access.

What are the alternatives to Shellward?

In the same category: Semgrep, World Monitor, SafeDep Vet MCP, and Ida pro MCP. Semgrep and World Monitor score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score