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

Q: How do I structure a multi-step data job with VectorShift (AI Workflow & RAG Automation) in Claude Code?

Build your steps using createpipeline first. Your script then executes the whole thing by calling runpipeline. This is deterministic and perfect for CI/CD scripting.

Q: Can VectorShift (AI Workflow & RAG Automation) handle knowledge base updates in Claude Code?

Yes. You can programmatically add new data using indexknowledgebase or remove stale content with deleteknowledgebasedocuments. The MCP Server tracks all changes.

Automate AI systems for CI/CD pipelines using VectorShift (AI Workflow & RAG Automation) with Claude Code.

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

Create your Vinkius account to connect VectorShift (AI Workflow & RAG Automation) to Claude Code 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 Code

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Claude

Perplexity

Execute batch operations on knowledge bases.

When you need to process hundreds of records, don't run them individually. Use `list_knowledge_bases` to find targets, then let your script call the tools needed to manage or query data in bulk. This makes it ideal for background jobs: check status with `get_knowledge_base`, and if needed, add content using `index_knowledge_base`.

Scripting complex AI workflows.

Pipelines are perfect for automation. Start by defining the process with `create_pipeline`. Your script then executes it headlessly via `run_pipeline`, passing inputs as JSON arguments. If you need to modify the data structure before running, use `create_transformation` and execute it with `run_transformation`.

Programmatic chatbot interaction.

You don't want a GUI chat; you want an API call. Your script uses `get_chatbot` to verify the ID, then calls `run_chatbot`. This is pure messaging via the MCP Server. Termination is simple too: use `terminate_chatbot` when the session finishes its work.

Setup guide

Set up VectorShift (AI Workflow & RAG Automation) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see vectorshift-ai-workflow-rag-automation-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest VectorShift (AI Workflow & RAG Automation) transactions." It will automatically discover and invoke the available VectorShift (AI Workflow & RAG Automation) tools.

Terminal

claude mcp add --transport http vectorshift-ai-workflow-rag-automation-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the VectorShift (AI Workflow & RAG Automation) MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "vectorshift-ai-workflow-rag-automation-mcp": {
      "type": "url",
      "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 Code

Build your steps using `create_pipeline` first. Your script then executes the whole thing by calling `run_pipeline`. This is deterministic and perfect for CI/CD scripting.

Yes. You can programmatically add new data using `index_knowledge_base` or remove stale content with `delete_knowledge_base_documents`. The MCP Server tracks all changes.

Use the list and get functions. You can check the running state of a process with `get_pipeline` or check available resources using `list_pipelines`. This is essential for robust scripting.

It's built for it. You can run a job and, if it needs to wait or fail gracefully, you have tools like `pause_pipeline` and `resume_pipeline` to manage the state.

This MCP Server deals with knowledge base documents, which are typically raw text or file contents. Treat all data passed to `index_knowledge_base` as sensitive source material.

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