Loxo MCP Server
by tbensonwest
The Loxo MCP Server provides tools for AI assistants to interact with the Loxo recruitment platform API. It enables managing candidates, jobs, activities, and call queues.
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What is Loxo MCP Server?
The Loxo MCP Server is a Model Context Protocol (MCP) server designed to facilitate interaction with the Loxo recruitment platform API. It acts as a bridge, allowing AI assistants to perform recruitment-related tasks.
How to use Loxo MCP Server?
To use the server, clone the repository, install dependencies using npm install, and build the project with npm run build. Configure the server by copying .env.example to .env and filling in your Loxo API key, agency slug, and optional domain. Available tools can then be used to manage activities, call queues, candidates, and jobs.
Key features of Loxo MCP Server
Activity Management
Call Queue Management
Candidate Management
Job Management
Type Safety with Zod
Comprehensive Error Handling
Model Context Protocol SDK
RESTful API calls to Loxo
Use cases of Loxo MCP Server
Automated candidate searching
Scheduling recruitment activities
Managing call queues
Adding notes to candidates and jobs
Integrating with AI assistants for recruitment tasks
FAQ from Loxo MCP Server
What is the purpose of the Loxo API key?
What is the purpose of the Loxo API key?
The Loxo API key is required to authenticate with the Loxo recruitment platform and access its data.
What is the Loxo agency slug?
What is the Loxo agency slug?
The agency slug is a unique identifier for your agency within the Loxo platform.
What kind of activities can be managed?
What kind of activities can be managed?
The server allows managing various activities such as calls, meetings, and other scheduled tasks.
How does the server handle errors?
How does the server handle errors?
The server includes comprehensive error handling for environment validation, API request failures, invalid tool parameters, and unknown tool requests.
What is Zod used for?
What is Zod used for?
Zod is used for runtime type validation of environment variables, tool input parameters, and API responses, ensuring data integrity.