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.

Haystack (deepset Cloud) MCP Server

Name: Haystack (deepset Cloud)
Availability: InStock
Author: Vinkius

deepset.ai/deepset-cloud

Built by Vinkius GDPR ToolsFree

Build and manage AI-powered search and RAG pipelines via deepset Cloud — search documents, run pipelines, and manage workspaces.

Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use

…and any MCP-compatible client

deepset Cloud MCP Server: see your AI Agent in action

AI Agent→Vinkius→Haystack (deepset Cloud)

You

Vinkius AI Gateway

GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

Built-in capabilities (7)

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

What this connector unlocks

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

1. Subscribe to this server
2. Enter your deepset Cloud API URL and API Key
3. 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

Frequently asked questions

Give your AI agents the power of deepset Cloud

Access deepset Cloud and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.

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