How to Use the Guru MCP in LlamaIndex

Q: How do I index Guru data in LlamaIndex?

You use the listknowledgecards tool to fetch your data and then pass that output to your vector store builder. It is a straightforward process.

Q: Can I filter Guru collections in LlamaIndex?

Yes, use listknowledgecollections to identify the correct IDs. You can then target those collections specifically in your search tools.

Build RAG apps with LlamaIndex by indexing your Guru wiki data directly into your vector stores.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Guru MCP to LlamaIndex

Create your Vinkius account to connect Guru 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 Guru with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index Guru content in LlamaIndex

Feed the output of `list_knowledge_cards` into your vector index to make your internal wiki queryable. It turns static cards into searchable data points. Your RAG application retrieves these results as part of its context window. This makes your answers accurate and specific to your team.

Retrieve card details in LlamaIndex

Use `get_card_details` to pull specific content for your agent. It gives the model the full context of a card rather than just a summary. This is essential for complex queries that require deep technical knowledge. Your agent gets the right info every time.

Organize data via Guru MCP Server

Call `list_knowledge_collections` to map your workspace structure. You can filter your index to specific collections for better relevance. This helps your LlamaIndex setup avoid noise from irrelevant boards. You control exactly what data enters your pipeline.

Setup guide

Set up Guru 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 Guru 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 Guru tools.",
)
response = await agent.run("List recent Guru 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 Guru. 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 Guru 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 Guru MCP in LlamaIndex

You use the `list_knowledge_cards` tool to fetch your data and then pass that output to your vector store builder. It is a straightforward process.

No, because the agent uses the retrieved card content as the source of truth. It grounds the answer in the actual text from your Guru wiki.

Yes, use `list_knowledge_collections` to identify the correct IDs. You can then target those collections specifically in your search tools.

It is designed to feed clean, structured data into your indexing pipeline. You get full control over the content scope.

Your Guru API key is handled securely via an endpoint token. The server only accesses the text and metadata of your knowledge cards, keeping your sensitive system logs isolated.

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