ATS API MCP Server
The Applicant Tracking System (ATS) API, provided by Apideck as part of its unified API platform, serves as a standardized, RESTful gateway to interact with core recruitment and talent acquisition data.
Quick Start Summary
The ATS API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the ATS API API through natural language. It exposes 5 API endpoints as callable tools, such as List applicants, Create applicant, Get applicant, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/apideck-com-ats. This integration is sourced from the auto ATS API OpenAPI specification (v9.3.0) and has a quality score of 40/99 (fair documentation coverage).
Server Details
- Category
- Finance & Payments
- Authentication
- None
- Endpoints
- 5 operations
- Transport
- STDIO
- Spec Version
- v9.3.0
- Install Command
npx -y @mcp/apideck-com-ats
Environment Variables
ATS_API_API_KEYExample: your_ats_api_api_key
Top Endpoints
/ats/applicantsList applicants
/ats/applicantsCreate applicant
/ats/applicants/{id}Get applicant
/ats/jobsList Jobs
/ats/jobs/{id}Get Job
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"apideck-com-ats": {
"command": "npx",
"args": [
"-y",
"@mcp/apideck-com-ats"
],
"env": {
"ATS_API_API_KEY": "your_ats_api_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"apideck-com-ats": {
"url": "https://mcpbridge.org/config/apideck-com-ats.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"apideck-com-ats": {
"url": "https://mcpbridge.org/config/apideck-com-ats.json"
}
}
}Endpoints Explorer
Search and browse the 5 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling ATS API endpoints in curl, TypeScript, or Python.
curl -X GET "https://api.apis.guru/v2/specs/apideck.com/ats/9.3.0/ats/applicants" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"apideck-com-ats": {
"command": "npx",
"args": ["-y","@mcp/apideck-com-ats"],
"env": {
"ATS_API_API_KEY": "your_ats_api_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking ATS API endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v9.3.0
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
/ats/jobs/job-123, understand the context, then make a correlated GET request to /ats/applicants with the appropriate filter, and present a summarized, human-readable output. Another workflow could be: "Create a new applicant record in our ATS for Jane Doe, a software engineer, using the mock API for testing." The AI would then formulate and execute the proper POST request to /ats/applicants with the structured data, providing the developer with immediate confirmation or error feedback. This enables rapid prototyping and iterative development directly within the AI-assisted environment.Similar APIs
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