How do I find my ReciPal API Key?

Log in to your [**ReciPal account**](https://recipal.com/), navigate to your account settings, and you will find your API Key in the integrations or developer section. Copy and paste it below.

Can the agent show serving sizes?

Yes. Every recipe record retrieved by your agent includes serving size metadata and the number of servings per recipe.

Does it support ingredient lists?

Yes. The `get_recipe_details` tool retrieves the full list of ingredients used in a specific recipe, along with their weights.

ReciPal MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

Name: ReciPal
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ReciPal as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ReciPal. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ReciPal?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine ReciPal tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the ReciPal MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from ReciPal

Why Use LlamaIndex with the ReciPal MCP Server

LlamaIndex provides unique advantages when paired with ReciPal through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ReciPal tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ReciPal tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ReciPal, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ReciPal tools were called, what data was returned, and how it influenced the final answer

ReciPal + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ReciPal MCP Server delivers measurable value.

Hybrid search: combine ReciPal real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ReciPal to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ReciPal for fresh data

Analytical workflows: chain ReciPal queries with LlamaIndex's data connectors to build multi-source analytical reports

ReciPal MCP Tools for LlamaIndex (4)

These 4 tools become available when you connect ReciPal to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting ReciPal to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ReciPal + LlamaIndex FAQ

Common questions about integrating ReciPal MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ReciPal tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.