Runn MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Runn through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"runn": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Runn Agent",
instructions:
"You help users interact with Runn " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Runn?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Runn tool infrastructure. Connect 12 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Runn MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Runn via MCP
Why Use Mastra AI with the Runn MCP Server
Mastra AI provides unique advantages when paired with Runn through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Runn without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Runn tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Runn + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Runn MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Runn, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Runn as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Runn on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Runn tools alongside other MCP servers
Runn MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Runn to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Runn to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRunn + Mastra AI FAQ
Common questions about integrating Runn MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.