Bring Rag Pipelines
to LlamaIndex
Create your Vinkius account to connect Haystack (deepset Cloud) to LlamaIndex and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Haystack (deepset Cloud) MCP Server?
Connect your deepset Cloud account to any AI agent and manage your Haystack-powered RAG pipelines through natural conversation.
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
How it works
- Subscribe to this server
- Enter your deepset Cloud API URL and API Key
- Start managing your AI pipelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI/ML Teams — quickly audit pipeline configurations and test search results
- RAG Developers — integrate enterprise knowledge bases with AI agents for contextual answers
- Product Managers — monitor search performance and verify document indexing status
Built-in capabilities (7)
Get file metadata
Get pipeline details
List uploaded files
List pipelines
List workspaces
Run a pipeline search
Search documents in index
Why LlamaIndex?
LlamaIndex agents combine Haystack (deepset Cloud) tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Haystack (deepset Cloud) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Haystack (deepset Cloud) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Haystack (deepset Cloud), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Haystack (deepset Cloud) tools were called, what data was returned, and how it influenced the final answer
Haystack (deepset Cloud) in LlamaIndex
Why run Haystack (deepset Cloud) with Vinkius?
The Haystack (deepset Cloud) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Haystack (deepset Cloud) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Haystack (deepset Cloud) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Haystack (deepset Cloud) to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Haystack (deepset Cloud) for LlamaIndex
Every request between LlamaIndex and Haystack (deepset Cloud) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I test my RAG pipelines directly via my AI agent?
Yes. Use the run_pipeline tool to dispatch a query to any registered pipeline in your workspace. Your agent will return the response from the NLP topology, allowing you to verify retriever performance and LLM grounding without leaving your workspace.
How can I audit my document indexing status?
Ask your agent to list files in your workspace. You can then get specific metadata for any file to ensure embeddings and attributes are correctly attached. This is essential for debugging retrieval issues in production environments.
Is it possible to manage multiple deepset Cloud workspaces?
Absolutely. The agent provides high-level workspace listing, allowing you to navigate across tenant boundaries and isolation zones easily. You just need to provide the workspace name to any pipeline or search command.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Haystack (deepset Cloud) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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