How to Use the Glean MCP in LlamaIndex

Build grounded RAG applications by indexing Glean tool output directly into your LlamaIndex vector store.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Glean MCP to LlamaIndex

Create your Vinkius account to connect Glean 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 Glean with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Grounding LlamaIndex with Glean data

Run `search_datasource` to collect live API data and pipe it into your index. This ensures your RAG pipeline uses current enterprise information. Your application avoids stale data by pulling fresh context on demand. The `search_datasource` tool provides the raw material for your vector store.

Semantic search via MCP Server

Query your documents using `search_docs` and store the results for local reasoning. LlamaIndex treats these outputs as high-fidelity source material. This bypasses the usual hallucination traps. You rely on actual API records retrieved via the MCP Server instead of pure model guessing.

Managing index content with Glean

Use `index_document` to update your knowledge base programmatically. This keeps your search index in sync with your evolving enterprise documentation. You control what data enters the pipeline. The tool ensures your index remains a reliable source of truth for your LlamaIndex applications.

Setup guide

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

Install the MCP tool spec, initialize the client, and convert tools to a list. LlamaIndex treats these as standard function calls.

Absolutely. By grounding your responses in live API data from Glean, you provide concrete evidence for every answer your index generates.

You can. Use the tool spec to define which specific tools are available to your agent, limiting the scope of retrieved Glean data.

The MCP protocol keeps latency low. You get direct access to your data without heavy middleware overhead.

Glean enforces your enterprise permissions before returning a single byte of data. Your LlamaIndex vector store only holds what you are authorized to read.

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