RecruSpace MCP Server for CursorGive Cursor instant access to 11 tools to Add Candidate, Create Talent Pool, Get Candidate Details, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this App Connector for Cursor
The RecruSpace app connector for Cursor is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install RecruSpace and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"recruspace": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About RecruSpace MCP Server
Connect your RecruSpace account to any AI agent to streamline your hiring and talent orchestration through natural conversation. RecruSpace provides a modern recruitment platform for programmatically managing candidates, organizing talent pools, and tracking job post statuses through its robust API.
Cursor's Agent mode turns RecruSpace into an in-editor superpower. Ask Cursor to generate code using live data from RecruSpace and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Candidate & Applicant Orchestration — List all managed candidates and add new potential hires with detailed profile metadata programmatically.
- Talent Pool Intelligence — Access and monitor your talent pools and create new collections to organize your recruitment pipeline directly from the AI interface.
- Job Post Lifecycle Management — List all active job posts and retrieve detailed metadata to maintain a clear overview of your hiring needs via natural language.
- Candidate Deep-Dive — Retrieve granular details for specific candidates to understand full context and qualification metrics.
- Operational Monitoring — Track system activity and manage recruitment metadata using simple AI commands.
The RecruSpace MCP Server exposes 11 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 RecruSpace tools available for Cursor
When Cursor connects to RecruSpace through Vinkius, your AI agent gets direct access to every tool listed below — spanning recruspace, recruitment-api, hr-technology, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Add a new candidate
Create a new talent pool
Get specific candidate details
Get details for a specific job posting
Get details for a talent pool
List all candidates
List all scheduled interviews
List all job posts
List all hiring pipelines
List all talent pools
Update candidate information
Connect RecruSpace to Cursor via MCP
Follow these steps to wire RecruSpace into Cursor. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using RecruSpace
Why Use Cursor with the RecruSpace MCP Server
Cursor AI Code Editor provides unique advantages when paired with RecruSpace through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
RecruSpace + Cursor Use Cases
Practical scenarios where Cursor combined with the RecruSpace MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for RecruSpace in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with RecruSpace immediately.
"List all active candidates in RecruSpace."
"Show me all active job postings with their application counts and pipeline status."
"Add a new candidate to the talent pool for future engineering roles."
Troubleshooting RecruSpace MCP Server with Cursor
Common issues when connecting RecruSpace to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
RecruSpace + Cursor FAQ
Common questions about integrating RecruSpace MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.