Guru MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Guru as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Guru. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Guru?"
)
print(response)
asyncio.run(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 Guru MCP Server
Connect your Guru (Getguru) workspace to any AI agent to automate your knowledge management and enterprise wiki workflows through the Model Context Protocol (MCP). Guru is the AI-powered source of truth that organizes company information into verified cards. This MCP server enables you to retrieve knowledge cards, manage collections, and search your entire workspace directly through natural conversation.
LlamaIndex agents combine Guru tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
Key Features
- Knowledge Card Oversight — List all knowledge cards, fetch detailed structured content (extended metadata), and create or update cards instantly.
- Collection Management — Access and list high-level enterprise groupings (collections) to understand how your knowledge is organized.
- AI-Powered Search — Execute powerful searches across all enterprise knowledge silos to isolate answers and verify facts.
- Board Discovery — Access board structures that pin collections for specific department or project discovery.
- Security & Access Control — List user groups and workspace members to verify knowledge permissions and authorized scopes.
- Verification Tracking — Monitor the verification state of your cards to ensure your AI assistant is always using the source of truth.
- Real-time Synchronization — Keep your company's collective intelligence accessible to your AI assistant without leaving your primary workspace.
The Guru MCP Server exposes 12 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 Guru to LlamaIndex via MCP
Follow these steps to integrate the Guru 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 12 tools from Guru
Why Use LlamaIndex with the Guru MCP Server
LlamaIndex provides unique advantages when paired with Guru through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Guru tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Guru tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Guru, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Guru tools were called, what data was returned, and how it influenced the final answer
Guru + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Guru MCP Server delivers measurable value.
Hybrid search: combine Guru real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Guru 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 Guru for fresh data
Analytical workflows: chain Guru queries with LlamaIndex's data connectors to build multi-source analytical reports
Guru MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Guru to LlamaIndex via MCP:
create_knowledge_card
Create new card
delete_knowledge_card
Remove a card
get_card_details
Get card content
get_collection_details
Get collection metadata
list_access_groups
List user groups
list_knowledge_boards
List boards
list_knowledge_cards
List knowledge cards
list_knowledge_collections
List all collections
list_workspace_members
List team members
search_knowledge_base
Search all cards
update_knowledge_card
Modify a card
verify_api_connection
Check connection
Example Prompts for Guru in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Guru immediately.
"Search my Guru wiki for 'Remote Work Policy'."
"List all my knowledge collections in Guru."
"Create a new knowledge card: 'How to setup MCP' in the 'Engineering' collection."
Troubleshooting Guru MCP Server with LlamaIndex
Common issues when connecting Guru to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGuru + LlamaIndex FAQ
Common questions about integrating Guru MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Guru with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Guru to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.