Runn 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": {
"runn": {
"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 Runn MCP Server
Integrate your conversational AI natively with Runn, the premier real-time resource planning and forecasting platform. This integration enables your assistant to pull essential project metadata, capacity bottlenecks, people configurations, team allocations, and timesheet metrics directly into your sessions.
Cursor's Agent mode turns Runn into an in-editor superpower. Ask Cursor to generate code using live data from Runn 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.
What you can do
- Analyze Projects & Resources — Extract ongoing engagement details, milestones, and client associations by querying lists natively (
list_projects,list_clients). Request detailed readouts of individual operational scopes (get_project). - Audit Roles & Assignments — Find exactly who is assigned to what phase, mapping active allocations accurately (
list_assignments,list_phases). Consult team members' details (list_people,get_person) or review globally defined roles (list_roles). - Review Budgets & Actuals — Safely extract reported operational logs (
list_actuals) to compare planned work versus billed hours. Account for non-working days naturally via the holidays lists (list_holidays).
The Runn 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 Runn to Cursor via MCP
Follow these steps to integrate the Runn 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 Runn
Open Agent mode in chat and ask: "Using Runn, help me..." — 12 tools available
Why Use Cursor with the Runn MCP Server
Cursor AI Code Editor provides unique advantages when paired with Runn 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
Runn + Cursor Use Cases
Practical scenarios where Cursor combined with the Runn 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
Runn MCP Tools for Cursor (12)
These 12 tools become available when you connect Runn to Cursor via MCP:
get_person
Retrieves details for a specific person
get_project
Retrieves details for a specific project
list_actuals
Lists actual hours logged (timesheet data)
list_assignments
Lists all resource assignments across projects
list_clients
Lists all clients in the organization
list_holidays
Lists public holidays and non-working days
list_milestones
Lists milestones for a specific project
list_people
Lists all people and resources in Runn
list_phases
Lists project phases for a specific project
list_projects
Lists all projects managed in Runn
list_roles
Lists all defined roles/positions
list_teams
Lists all teams in the workspace
Example Prompts for Runn in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Runn immediately.
"List all active projects mapped."
"Which team is assigned to the Alpha project next week?"
"What are the upcoming milestones for the Beta project?"
Troubleshooting Runn MCP Server with Cursor
Common issues when connecting Runn to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Runn + Cursor FAQ
Common questions about integrating Runn 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 Runn 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 Runn to Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
