Gem MCP Server for Cursor 12 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"gem": {
"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 Gem MCP Server
Connect your Gem recruitment CRM to any AI agent to automate your talent sourcing and candidate relationship management through the Model Context Protocol (MCP). Gem is the AI-first recruiting platform that helps modern teams find, engage, and hire top talent. This MCP server enables you to manage your candidate database, organize talent projects, and retrieve detailed interaction histories directly through natural conversation.
Cursor's Agent mode turns Gem into an in-editor superpower. Ask Cursor to generate code using live data from Gem and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
Key Features
- Candidate Oversight — List all candidates in your CRM, retrieve detailed profiles, and create new records instantly to maintain a full talent pipeline.
- Talent Project Management — Access your sourcing projects and fetch detailed metadata to track how your talent pools are growing.
- Interaction Logging — Access historical notes and interaction logs for candidates, or programmatically log new notes from your chat interface.
- Outreach Insights — List active outreach sequences and automated messaging campaigns to understand your engagement status.
- Custom Metadata — Retrieve the definitions of custom fields configured for your team to maintain consistent data tracking.
- Workforce Collaboration — List all team members and recruiters in the account to verify ownership and assignments.
- Real-time Synchronization — Keep your recruiting data accessible to your AI assistant without leaving your primary workspace.
The Gem MCP Server exposes 12 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.
How to Connect Gem to Cursor via MCP
Follow these steps to integrate the Gem MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Gem
Open Agent mode in chat and ask: "Using Gem, help me...". 12 tools available
Why Use Cursor with the Gem MCP Server
Cursor AI Code Editor provides unique advantages when paired with Gem 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
Gem + Cursor Use Cases
Practical scenarios where Cursor combined with the Gem 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
Gem MCP Tools for Cursor (12)
These 12 tools become available when you connect Gem to Cursor via MCP:
add_candidate_note
Log an interaction
create_crm_candidate
Add new candidate
get_candidate_details
Get candidate metadata
get_project_details
Get project metadata
list_candidate_notes
List interactions
list_candidates
List CRM candidates
list_crm_custom_fields
List team fields
list_outreach_sequences
List sequences
list_recruiting_team
List Gem users
list_talent_projects
List Gem projects
update_crm_candidate
Modify candidate
verify_api_connection
Check connection
Example Prompts for Gem in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Gem immediately.
"List all active candidates in my Gem CRM."
"Show me the interactions history for candidate '12345'."
"Create a new candidate record for 'Alice Smith' (alice@email.com)."
Troubleshooting Gem MCP Server with Cursor
Common issues when connecting Gem to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Gem + Cursor FAQ
Common questions about integrating Gem 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.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Gem with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gem to Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
