Guru MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Guru through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"guru": {
"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 Guru, 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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Guru through native MCP adapters. Connect 12 tools via the 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.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Guru MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Guru via MCP
Why Use LangChain with the Guru MCP Server
LangChain provides unique advantages when paired with Guru through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Guru 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 Guru queries for multi-turn workflows
Guru + LangChain Use Cases
Practical scenarios where LangChain combined with the Guru MCP Server delivers measurable value.
RAG with live data: combine Guru tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Guru, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Guru tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Guru tool call, measure latency, and optimize your agent's performance
Guru MCP Tools for LangChain (12)
These 12 tools become available when you connect Guru to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Guru to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGuru + LangChain FAQ
Common questions about integrating Guru 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.