ChartHop MCP Server for Cursor 8 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": {
"charthop": {
"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 ChartHop MCP Server
Connect your ChartHop account to any AI agent and take full control of your organizational data and workforce planning through natural conversation. Streamline how you manage your roster and headcount.
Cursor's Agent mode turns ChartHop into an in-editor superpower. Ask Cursor to generate code using live data from ChartHop and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Roster Oversight — List and retrieve details for all people and filled roles in your organization natively
- Headcount Planning — Access and monitor open job positions and headcount scenarios flawlessly
- Organizational Mapping — List departments, teams, and their hierarchical structures securely
- Deep-Dive Profiles — Retrieve complete person information, including job history and compensation metadata flawlessly
- Scenario Visibility — Access and review headcount and compensation planning scenarios in real-time
- System Intelligence — Retrieve core organization information and account settings directly within your workspace
The ChartHop MCP Server exposes 8 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 ChartHop to Cursor via MCP
Follow these steps to integrate the ChartHop 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 ChartHop
Open Agent mode in chat and ask: "Using ChartHop, help me...". 8 tools available
Why Use Cursor with the ChartHop MCP Server
Cursor AI Code Editor provides unique advantages when paired with ChartHop 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
ChartHop + Cursor Use Cases
Practical scenarios where Cursor combined with the ChartHop 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
ChartHop MCP Tools for Cursor (8)
These 8 tools become available when you connect ChartHop to Cursor via MCP:
get_job_details
Get detailed information for a specific job
get_organization_summary
Retrieve core organization information and settings
get_person_details
Get detailed profile information for a specific person
list_organization_departments
List all departments in the organization
list_organization_jobs
List all jobs (roles) in the organization
list_organization_people
List all people (employees) in the organization
list_organization_teams
List all teams in the organization
list_planning_scenarios
List headcount and compensation planning scenarios
Example Prompts for ChartHop in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with ChartHop immediately.
"Show me the headcount summary for my organization."
"List all departments and their leaders."
"Show me details for 'John Smith' in ChartHop."
Troubleshooting ChartHop MCP Server with Cursor
Common issues when connecting ChartHop to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
ChartHop + Cursor FAQ
Common questions about integrating ChartHop 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 ChartHop with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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 ChartHop to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
