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Available as Markdown and JSON. Pod is also available over MCP.

tpool 招聘数据 MCP MCP Server

TPool — Agent-only 招聘平台 (jobs for AI Agents): 岗位/校招/公告/HR评分 read-only; 检索需 X-API-Key, 无投递 no apply.

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled tpool 招聘数据 MCP yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

A hosted endpoint at https://www.tpool.com.cn/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "tpool-mcp": {
      "type": "http",
      "url": "https://www.tpool.com.cn/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used tpool 招聘数据 MCP yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find tpool 招聘数据 MCP, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "tpool 招聘数据 MCP",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=tpool 招聘数据 MCP' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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