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MCP Teamtailor

@crunchloop

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

crunchloop

关于 MCP Teamtailor

The MCP Teamtailor is a Model Context Protocol (MCP) server that provides a simple integration with the [teamtailor api](https://docs.teamtailor.com/).

MCP Teamtailor 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "teamtailor": {
      "command": "npx",
      "args": [
        "-y",
        "@crunchloop/mcp-teamtailor"
      ],
      "env": {
        "TEAMTAILOR_URL": "https://api.teamtailor.com/v1",
        "TEAMTAILOR_API_KEY": "XXXX"
      }
    }
  }
}

MCP Teamtailor 工具

2

List and filter candidates.

Get a single candidate by their id.

概览

What is mcp-teamtailor?

mcp-teamtailor is a Model Context Protocol (MCP) server that provides a simple integration with the Teamtailor API. It is designed for developers and teams who want to access Teamtailor candidate data through an MCP client like Claude Desktop.

How to use mcp-teamtailor?

Configure the server in your MCP client (e.g., Claude Desktop) with the command npx -y @crunchloop/mcp-teamtailor and set environment variables TEAMTAILOR_URL (e.g., https://api.teamtailor.com/v1) and TEAMTAILOR_API_KEY. Then use the provided tools to list, filter, or retrieve candidates.

Key features of mcp-teamtailor

  • List candidates with optional filters and pagination
  • Get a single candidate by ID
  • No additional dependencies required
  • Lightweight, stdio-based transport

Use cases of mcp-teamtailor

  • Querying candidate records from Teamtailor inside an AI assistant
  • Filtering candidates by creation or update dates
  • Retrieving detailed candidate information by ID

常见问题

1

What does this server do that alternatives don't?

This server is a lightweight MCP wrapper around the Teamtailor API, requiring zero additional dependencies and using a simple stdio transport for easy integration with any MCP client.

2

What are the runtime dependencies?

No other dependencies are required beyond Node.js and the package itself.

3

Where does the data live?

Data is fetched directly from the Teamtailor API using the credentials you provide. No data is stored locally by the server.

4

What transport does it use?

Only `stdio` transport has been implemented at this time.

5

How is authentication handled?

You provide a `TEAMTAILOR_API_KEY` environment variable. The server uses this key to authenticate requests to the Teamtailor API.

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