Glean MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Glean as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Glean. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Glean?"
)
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 Glean MCP Server
Connect your Glean enterprise account to any AI agent and take full control of your corporate-wide knowledge discovery and AI-powered workspace through natural conversation.
LlamaIndex agents combine Glean tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Corporate Discovery Orchestration — Identify bounded CRM records and extract explicitly attached REST arrays targeting
/searchto find knowledge mapped across all SaaS applications natively - Live AI Answer Retrieval — Enumerate explicitly attached structured rules to fire RAG mechanisms, returning pure AI-generated blocks distilled from your company data limitlessly
- Multi-Source Filtering — Perform structural extraction of properties by hardcoding explicit filters parsing only specific datasources like Jira, Confluence, or Slack nodes synchronousy
- People & Identity Discovery — Retrieve corporate active directory information, matching user skills, roles, and names directly to generate hard customer bindings natively
- Intelligent Chat Orchestration — Commands explicit REST targets checking
/chatto manage ongoing text streams while maintaining historical thread mapping for complex reasoning - Knowledge Ingestion & Indexing — Upload massive custom text properties directly routing into corporate search logic to verify internal documentation boundaries securely
- Predictive Autocomplete — Discovers disconnected physical limits executing
/autocompleteto predict precise page destinations from partial prefixes flawlessly - Data Deletion Oversight — Explains explicitly mapped arrays checking
/deleteto remove indexed documents permanently and block future retrieval vectors
The Glean MCP Server exposes 10 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 Glean to LlamaIndex via MCP
Follow these steps to integrate the Glean 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 10 tools from Glean
Why Use LlamaIndex with the Glean MCP Server
LlamaIndex provides unique advantages when paired with Glean through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Glean tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Glean tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Glean, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Glean tools were called, what data was returned, and how it influenced the final answer
Glean + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Glean MCP Server delivers measurable value.
Hybrid search: combine Glean real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Glean 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 Glean for fresh data
Analytical workflows: chain Glean queries with LlamaIndex's data connectors to build multi-source analytical reports
Glean MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Glean to LlamaIndex via MCP:
autocomplete
Retrieve explicit Cloud logging tracing explicit Vault limits
chat_completion
Dispatch an automated validation check routing explicit Gateway history
custom_request
` merging physical POST arrays strictly. Identify precise active arrays spanning native Hold parsing
delete_document
Inspect deep internal arrays mitigating specific Plan Math
get_answer
Enumerate explicitly attached structured rules exporting active Billing
get_suggestions
Irreversibly vaporize explicit validations extracting rich Churn flags
index_document
Identify precise active arrays spanning native Gateway auth
search_datasource
g. Perform structural extraction of properties driving active Account logic
search_docs
Identify bounded CRM records inside the Headless Glean Platform
search_people
Provision a highly-available JSON Payload generating hard Customer bindings
Example Prompts for Glean in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Glean immediately.
"Search for 'Q2 hiring plan' in all apps"
"Who knows about 'React Native' in my company?"
"Get AI answer for: 'What is our expense policy for business travel?'"
Troubleshooting Glean MCP Server with LlamaIndex
Common issues when connecting Glean to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGlean + LlamaIndex FAQ
Common questions about integrating Glean 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 Glean 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 Glean to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.