Haystack (deepset Cloud) MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Haystack (deepset Cloud) 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 MCP SERVER
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({
"haystack-deepset-cloud": {
"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 Haystack (deepset Cloud), 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 Haystack (deepset Cloud) MCP Server
Connect your deepset Cloud account to any AI agent and manage your Haystack-powered RAG pipelines through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Haystack (deepset Cloud) through native MCP adapters. Connect 7 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
- Workspaces — List and manage isolated environments for different search contexts
- Pipelines — Visualize NLP topologies, including embedding nodes and retriever logic
- Run Search — Dispatch immediate LLM or Retriever invocations to test RAG pipelines
- Document Management — List files and inspect metadata attached to source document embeddings
- Vector Search — Trigger dense or sparse vector searches over indexed enterprise knowledge
The Haystack (deepset Cloud) MCP Server exposes 7 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 Haystack (deepset Cloud) to LangChain via MCP
Follow these steps to integrate the Haystack (deepset Cloud) 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 7 tools from Haystack (deepset Cloud) via MCP
Why Use LangChain with the Haystack (deepset Cloud) MCP Server
LangChain provides unique advantages when paired with Haystack (deepset Cloud) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Haystack (deepset Cloud) 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 Haystack (deepset Cloud) queries for multi-turn workflows
Haystack (deepset Cloud) + LangChain Use Cases
Practical scenarios where LangChain combined with the Haystack (deepset Cloud) MCP Server delivers measurable value.
RAG with live data: combine Haystack (deepset Cloud) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Haystack (deepset Cloud), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Haystack (deepset Cloud) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Haystack (deepset Cloud) tool call, measure latency, and optimize your agent's performance
Haystack (deepset Cloud) MCP Tools for LangChain (7)
These 7 tools become available when you connect Haystack (deepset Cloud) to LangChain via MCP:
get_file
Get file metadata
get_pipeline
Get pipeline details
list_files
List uploaded files
list_pipelines
List pipelines
list_workspaces
List workspaces
run_pipeline
Run a pipeline search
search_documents
Search documents in index
Example Prompts for Haystack (deepset Cloud) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Haystack (deepset Cloud) immediately.
"List all pipelines in my 'production' workspace"
"Run a search for 'AI security compliance' using the default-rag pipeline"
"List the files in my 'knowledge-base' workspace"
Troubleshooting Haystack (deepset Cloud) MCP Server with LangChain
Common issues when connecting Haystack (deepset Cloud) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHaystack (deepset Cloud) + LangChain FAQ
Common questions about integrating Haystack (deepset Cloud) 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 Haystack (deepset Cloud) 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 Haystack (deepset Cloud) to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.