How to Use the VectorShift (AI Workflow & RAG Automation) MCP in Claude

Q: How do I handle document deletion with VectorShift (AI Workflow & RAG Automation) in Claude Desktop?

You manage specific documents using deleteknowledgebasedocuments. This tool allows you to wipe out data by ID from a knowledge base, which is critical for compliance or historical cleanup. You're always in charge of what the AI sees.

Q: Can I run multiple workflows at once with VectorShift (AI Workflow & RAG Automation) using Claude Desktop?

Absolutely. The bulkrunpipeline tool executes many pipeline instances simultaneously, letting you test your workflow logic across a large dataset quickly. It's ideal for performance testing or batch processing.

Q: If I need to update the source data used by VectorShift (AI Workflow & RAG Automation) in Claude Desktop, what should I do?

Start with indexknowledgebase. This tool lets you add new files or URLs directly into your existing knowledge bases. You can then run a query against that updated pool of information immediately.

Q: What data types does VectorShift (AI Workflow & RAG Automation) touch regarding privacy?

This server touches knowledge base documents. When using deleteknowledgebasedocuments, you're specifically interacting with the document IDs and associated file content.

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Connect VectorShift (AI Workflow & RAG Automation) MCP to Claude Desktop

Create your Vinkius account to connect VectorShift (AI Workflow & RAG Automation) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup VectorShift (AI Workflow & RAG Automation) with Claude Desktop

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Perplexity

Manage full RAG pipelines via the MCP Server.

Need to automate a multi-step workflow? Use `create_pipeline` to build it, then execute runs using `run_pipeline`. This lets you test complex business logic—like first checking a knowledge base and then updating a record—all without leaving your local machine. If the process fails or needs tweaking, you can pause it with `pause_pipeline`, check the logs, and resume when ready. The full lifecycle of data automation is right here.

Deploy interactive chatbots directly from Claude Desktop.

Want a dedicated assistant for internal docs? Start by calling `create_chatbot` to set it up. You'll then use `run_chatbot` to send messages and get immediate responses, simulating a live chat session. Plus, you can upload specific files using `upload_chatbot_files` if the chatbot needs new context. Managing these bots is simple; fetch details with `get_chatbot`, or completely shut down an active conversation using `terminate_chatbot`.

Control and audit your knowledge bases through MCP Server.

Don't just query data—manage the sources. Start by adding files or URLs with `index_knowledge_base`. To check what you have, use `list_knowledge_bases` or find specific documents with `list_knowledge_base_documents`. This gives your AI client total control over its source material. Need to clean up? You can delete old data using `delete_knowledge_base_documents`, keeping your knowledge bases accurate and current.

Setup guide

Set up VectorShift (AI Workflow & RAG Automation) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The VectorShift (AI Workflow & RAG Automation) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the VectorShift (AI Workflow & RAG Automation) MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under vectorshift-ai-workflow-rag-automation-mcp.

json

{
  "mcpServers": {
    "vectorshift-ai-workflow-rag-automation-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VectorShift. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about VectorShift (AI Workflow & RAG Automation) MCP in Claude Desktop

You manage specific documents using `delete_knowledge_base_documents`. This tool allows you to wipe out data by ID from a knowledge base, which is critical for compliance or historical cleanup. You're always in charge of what the AI sees.

Absolutely. The `bulk_run_pipeline` tool executes many pipeline instances simultaneously, letting you test your workflow logic across a large dataset quickly. It's ideal for performance testing or batch processing.

Start with `index_knowledge_base`. This tool lets you add new files or URLs directly into your existing knowledge bases. You can then run a query against that updated pool of information immediately.

Yep. Since this is an MCP server, it exposes 29 different operations. You're not stuck with just one function; you can manage chatbots, pipelines, transformations, and knowledge bases all from one place.

This server touches knowledge base documents. When using `delete_knowledge_base_documents`, you're specifically interacting with the document IDs and associated file content.

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