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