How to Use the YesNo MCP in LlamaIndex

Q: Can I use YesNo in LlamaIndex to ground my answers?

Yes. You can index the results of getdecision into your vector store. This means your RAG applications will cite the actual decision when answering queries.

Q: Does this MCP Server support resource inclusion for LlamaIndex?

Yes. You can use getdecision alongside other tools and include resources=True to ensure the decision data is fully accessible in your index.

Index Decisions with LlamaIndex: Grounding random yes/no outcomes into your knowledge base.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect YesNo MCP to LlamaIndex

Create your Vinkius account to connect YesNo to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup YesNo with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Indexing Decision Outcomes for LlamaIndex

The `get_decision` tool retrieves a random yes, no, or maybe answer. Crucially, this output can be indexed by LlamaIndex into your vector store. This means you can query past session decisions—like 'What did the system decide about Project Alpha?'—and get answers grounded in actual API data.

Building RAG Applications with MCP Server

Don't just call tools; save them. By passing `get_decision` to LlamaIndex, you treat the outcome as a searchable fact. You combine live API results with documents in one unified index. This eliminates hallucinations because your answers are directly tied back to the recorded yes/no decision.

Structured Decision Retrieval

Need to know what happened when you forced an answer? The `get_decision` tool handles optional forcing of a 'yes', 'no', or 'maybe'. This structured output is perfect for creating robust knowledge articles that record specific, verifiable outcomes.

Setup guide

Set up YesNo 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 YesNo 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 YesNo tools.",
)
response = await agent.run("List recent YesNo data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YesNo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect YesNo now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about YesNo MCP in LlamaIndex

Yes. You can index the results of `get_decision` into your vector store. This means your RAG applications will cite the actual decision when answering queries.

Yes. The tool outputs a yes/no/maybe decision and its source information, which becomes part of your searchable knowledge base index.

It is. When you specify 'yes' or 'no', the tool returns that specific string reliably, giving you a verifiable fact to index.

Yes. You can use `get_decision` alongside other tools and include resources=True to ensure the decision data is fully accessible in your index.

This server touches non-sensitive decision metadata, including randomized yes/no/maybe decisions and associated GIF URLs. The core data type is a decision string.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript