How to Use the Ingredient Weight Converter MCP in LlamaIndex

Q: Can I filter tools when using Ingredient Weight Converter with LlamaIndex?

Yes. You can use an allowedtools list to restrict which functions the agent can access in your index.

Index your kitchen measurements in LlamaIndex with the Ingredient Weight Converter to ground your agent in real culinary data.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Ingredient Weight Converter MCP to LlamaIndex

Create your Vinkius account to connect Ingredient Weight Converter to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Ingredient Weight Converter with LlamaIndex

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Convert volumes to searchable indices

Turn volumetric measurements into reliable weight data for your RAG applications. Use `convert_volume_to_weight` to feed your vector store. This gives your agent a grounded reference point. It stops the model from hallucinating density values.

Precise density retrieval

Fetch accurate mass-per-cup values for your index. Use `get_ingredient_density` to update your knowledge base with current specs. This keeps your application data sharp. It ensures every query returns a scientifically backed weight.

Semantic ingredient discovery

Locate specific items to build your knowledge graph. Use `search_ingredients` to find entries that your agent can index. This simplifies data ingestion for your pipeline. It makes your LlamaIndex setup much faster to populate.

Setup guide

Set up Ingredient Weight Converter MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Ingredient Weight Converter MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Ingredient Weight Converter tools.",
)
response = await agent.run("List recent Ingredient Weight Converter data")

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