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Aggregators and gateways · MCP server

OpenHire · 哨兵: MCP server, setup and security

OpenHire · 哨兵 is an open-source MCP server that lets an AI agent search employer job listings and check freshness and ghost-job scores. Its repository has 13 stars and its last commit is from October 23, 2026 and it is licensed under MIT.

Actively maintained

What OpenHire · 哨兵 does

According to its repository: “Job search over employer ATS APIs (Greenhouse, Lever, Ashby, Beisen) with freshness verification, ghost-job scoring and apply links; matching runs client-side.”

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. OpenHire · 哨兵 is listed under Aggregators and gateways, a category of 141 servers in the directory, where it ranks #107 by stars.

Topics declared by the repository: ai-agents, ashby, ats, claude, cursor, greenhouse.

Installing and connecting OpenHire · 哨兵

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

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: Python. 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 OpenHire · 哨兵. 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 July 14, 2026, the gzchenhao/openhire repository has 13 stars and 0 forks, with 0 open issues. It has more stars than 31% of the servers in the directory. It received changes this month. Version published in the registry: 0.8.27 (October 22, 2026).

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

PaperclipPaperclip : 106.8K106.8KOpenWork MCP GatewayOpenWork MCP Gateway : 24.2K24.2KGitDiagramGitDiagram : 18.4K18.4KAIHOTAIHOT : 8.5K8.5KBasebalance.cloud — x402 RPCBasebalance.cloud — x402 RPC : 7.5K7.5KTreg.toTreg.to : 6K6KMockserver monorepoMockserver monorepo : 5K5KDBHubDBHub : 3.7K3.7KOpenHire · 哨兵OpenHire · 哨兵 : 1313
GitHub stars of the most followed servers in the category (log scale); OpenHire · 哨兵 in orange. Checked October 25, 2026.

Verdict

OpenHire · 哨兵 is a reasonable choice; check the points below before connecting it.

Strengths

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

Frequently asked questions

How do I install OpenHire · 哨兵?

OpenHire · 哨兵 is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gzchenhao/openhire.

Is OpenHire · 哨兵 free?

The code is published under the MIT licence and can be used free of charge.

Is OpenHire · 哨兵 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 gzchenhao on GitHub. Check who maintains it before giving it access.

What are the alternatives to OpenHire · 哨兵?

In the same category: GitDiagram, Mockserver monorepo, Paperclip, and Basebalance.cloud — x402 RPC & MCP gateway. GitDiagram and Mockserver monorepo 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