Glean MCP Server for LangChainGive LangChain instant access to 12 tools to Autocomplete, Bulk Index Documents, Chat, and more
LangChain is the leading Python framework for composable LLM applications. Connect Glean through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Glean app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"glean-alternative": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Glean, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 workspace to any AI agent and unlock enterprise knowledge through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Glean through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Universal Search — Search across all connected data sources (Confluence, Slack, Google Drive, Jira, and more) from a single query
- Datasource Filtering — Focus searches on a specific connected platform for targeted results
- People Search — Find employees by name, role, expertise, or department across your organization
- Document Management — Index new documents, bulk-index batches, retrieve document metadata, and remove outdated content
- Curated Collections — Browse and inspect curated content collections for onboarding, policies, and shared knowledge
- AI Chat — Ask questions to Glean's AI assistant, which generates answers grounded in your organization's knowledge base
- Autocomplete — Get intelligent search suggestions based on organizational knowledge as you type
The Glean MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Glean tools available for LangChain
When LangChain connects to Glean through Vinkius, your AI agent gets direct access to every tool listed below — spanning enterprise-search, unified-search, people-discovery, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Autocomplete suggestions
Bulk index documents
AI chat
Verify connectivity
Delete a document
Get collection details
Get document details
Index a document
List collections
Search across all content
g., Confluence, Slack, Google Drive). Search in specific datasource
Search people
Connect Glean to LangChain via MCP
Follow these steps to wire Glean into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Glean MCP Server
LangChain provides unique advantages when paired with Glean through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Glean MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Glean queries for multi-turn workflows
Glean + LangChain Use Cases
Practical scenarios where LangChain combined with the Glean MCP Server delivers measurable value.
RAG with live data: combine Glean tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Glean, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Glean tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Glean tool call, measure latency, and optimize your agent's performance
Example Prompts for Glean in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Glean immediately.
"Search for our deployment runbook and the on-call rotation schedule."
"Ask the AI assistant: What is our company's refund policy for enterprise customers?"
"Find the engineering lead for the payments team and search Slack for recent discussions about PCI compliance."
Troubleshooting Glean MCP Server with LangChain
Common issues when connecting Glean to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGlean + LangChain FAQ
Common questions about integrating Glean MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.