Lancerkit MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lancerkit through 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: {
"lancerkit": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Lancerkit Agent",
instructions:
"You help users interact with Lancerkit " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Lancerkit?"
);
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 Lancerkit MCP Server
Connect Lancerkit to any AI agent via MCP.
How to Connect Lancerkit to Mastra AI via MCP
Follow these steps to integrate the Lancerkit 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 10 tools from Lancerkit via MCP
Why Use Mastra AI with the Lancerkit MCP Server
Mastra AI provides unique advantages when paired with Lancerkit through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lancerkit 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 Lancerkit 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
Lancerkit + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Lancerkit MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Lancerkit, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Lancerkit as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Lancerkit on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Lancerkit tools alongside other MCP servers
Lancerkit MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Lancerkit to Mastra AI via MCP:
get_client
Retrieve specific metadata of one single client
get_invoice
Retrieve data, payments, and billings for a specific invoice string ID
get_project
Get a single project details by ID
get_status
Examine account and integration connection status overall
get_time_logs
Check the recorded time logs for hours spent
list_clients
List all clients associated with the workspace
list_invoices
Fetch global invoice pipeline statistics
list_projects
List all standard projects
list_services
Fetch all specific billable service items configured online
list_tasks
Check current working tasks
Example Prompts for Lancerkit in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Lancerkit immediately.
"Draft an invoice for the Acme Corp redesign project."
"How many billable hours have I tracked this week?"
"Create a new project named Mobile App Development for Delta Tech."
Troubleshooting Lancerkit MCP Server with Mastra AI
Common issues when connecting Lancerkit to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLancerkit + Mastra AI FAQ
Common questions about integrating Lancerkit 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 Lancerkit 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 Lancerkit to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.