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MCP Server

MCP Ashby Connector

A server implementation that enables LLMs to interact with Ashby's Applicant Tracking System, allowing management of candidates, jobs, applications, interviews, and analytics through the Model Context Protocol.

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GitHub Stars
8/23/2025
Last Updated
MCP Server Configuration
1{
2 "name": "ashby",
3 "command": "uvx",
4 "args": [
5 "--from",
6 "mcp-ashby-connector",
7 "ashby"
8 ],
9 "env": {
10 "ASHBY_API_KEY": "YOUR_ASHBY_API_KEY"
11 }
12}
JSON12 lines

README Documentation

MCP Ashby Connector

A Model Context Protocol (MCP) server implementation for Ashby integration, allowing LLMs to interact with Ashby's Applicant Tracking System (ATS) data and operations.

Features

  • Candidate Management (create, search, list)
  • Job Management (create, search, list)
  • Application Management (create, list, update)
  • Interview Management (create, list, schedule)
  • Analytics & Reporting (pipeline metrics)
  • Batch Operations (bulk create/update/schedule)

Configuration

Model Context Protocol

To use this server with the Model Context Protocol, you need to configure it in your claude_desktop_config.json file. Add the following entry to the mcpServers section:

{
    "mcpServers": {
        "ashby": {
            "command": "uvx",
            "args": [
                "--from",
                "mcp-ashby-connector",
                "ashby"
            ],
            "env": {
                "ASHBY_API_KEY": "YOUR_ASHBY_API_KEY"
            }
        }
    }
}

Replace YOUR_ASHBY_API_KEY with your Ashby API key.

Project Structure

src/
  ashby/
    server.py      # Main MCP server implementation

Dependencies

The project requires the following Python packages:

  • mcp
  • requests
  • python-dotenv

Quick Install

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source