ReciPal MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ReciPal through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"recipal": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ReciPal Agent",
instructions:
"You help users interact with ReciPal " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ReciPal?"
);
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 ReciPal MCP Server
Empower your AI agent to orchestrate your entire food manufacturing and recipe auditing workflow with ReciPal, the specialized source for nutritional labeling data. By connecting ReciPal to your agent, you transform complex ingredient analysis into a natural conversation. Your agent can instantly retrieve recipe details, audit calorie counts, and query ingredient lists without you ever touching a labeling portal. Whether you are conducting product research or managing regional dietary constraints, your agent acts as a real-time nutritional consultant, ensuring your data is always verified and precise.
Mastra's agent abstraction provides a clean separation between LLM logic and ReciPal tool infrastructure. Connect 4 tools through 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
- Recipe Auditing — Retrieve high-resolution details for all recipes in your catalog, including names, calorie counts, and serving metadata.
- Ingredient Oversight — Audit the available ingredients in the ReciPal database to understand the thematic distribution of components instantly.
- Nutritional Intelligence — Query full nutritional breakdowns for specific recipes to assist in deep-dive dietary classification.
- Resource Discovery — Retrieve unique recipe identifiers to help you identify relevant markers for your food products.
- Operational Monitoring — Check API status to ensure your nutritional research workflow is always operational.
The ReciPal MCP Server exposes 4 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 ReciPal to Mastra AI via MCP
Follow these steps to integrate the ReciPal 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 4 tools from ReciPal via MCP
Why Use Mastra AI with the ReciPal MCP Server
Mastra AI provides unique advantages when paired with ReciPal through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ReciPal 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 ReciPal 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
ReciPal + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ReciPal MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ReciPal, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ReciPal as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ReciPal on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ReciPal tools alongside other MCP servers
ReciPal MCP Tools for Mastra AI (4)
These 4 tools become available when you connect ReciPal to Mastra AI via MCP:
check_api_status
Check if the ReciPal service is operational
get_recipe_details
Get full nutritional and ingredient details for a specific recipe by ID
list_recipal_ingredients
List all ingredients available in the ReciPal database
list_recipal_recipes
List all recipes in your ReciPal account
Example Prompts for ReciPal in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ReciPal immediately.
"List all my recipes using ReciPal."
"What are the details for recipe ID '12345'?"
"List all ingredients available in ReciPal."
Troubleshooting ReciPal MCP Server with Mastra AI
Common issues when connecting ReciPal to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpReciPal + Mastra AI FAQ
Common questions about integrating ReciPal 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 ReciPal with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 ReciPal to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.