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

Q: How do I manage data flow with VectorShift (AI Workflow & RAG Automation) in Windsurf?

You can create multi-step pipelines using createpipeline and then trigger them via the agent. The MCP Server manages the entire sequence, letting your AI client see the full execution path from start to finish.

Q: Can VectorShift (AI Workflow & RAG Automation) handle chat history in Windsurf?

Yep. You can run a chatbot and maintain context using runchatbot. The server handles the state, so your agent doesn't have to worry about passing entire message logs with every call.

Q: What happens if I need to audit my workflow history in Windsurf?

You can list everything happening on the MCP Server. Use listpipelines or listknowledgebases to see what exists, which is great for auditing automated actions.

Q: Is VectorShift (AI Workflow & RAG Automation) reliable for long-running tasks in Windsurf?

It's built for that. You can start a job with runpipeline and, if necessary, pause or resume it using the corresponding tools, ensuring stability across extended runs.

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

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Claude

Perplexity

Orchestrate multi-step knowledge retrieval.

Need to query multiple data sources before generating an answer? You can set a goal, and Cascade handles the whole sequence. It'll run `list_knowledge_bases` first, then use `index_knowledge_base` if needed, finally executing a targeted `query_knowledge_base` call. This lets you build complex RAG workflows where your agent doesn't need constant human direction. Just tell it the goal, and the MCP Server figures out the steps.

Manage entire chatbot deployments.

Don't just run a bot; manage it. You can use `list_chatbots` to see what's running, or `create_chatbot` and then upload files via `upload_chatbot_files`. If the conversation is done, you hit `terminate_chatbot`. This full lifecycle management means your agent has total control over the bot environment. It’s way more powerful than just sending a message with `run_chatbot`.

Execute and monitor complex pipelines.

Some processes need multiple steps: data cleaning, transformation, then indexing. With VectorShift (AI Workflow & RAG Automation), you define the full process using `create_pipeline`. Then, your agent runs it with `run_pipeline`. If things slow down, or if you need to test midway, Cascade can pause the job using `pause_pipeline` and resume it later. This level of control is what makes an autonomous agent reliable.

Setup guide

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

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my VectorShift (AI Workflow & RAG Automation) payment history." If connected, Cascade will call the VectorShift (AI Workflow & RAG Automation) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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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 Windsurf

You can create multi-step pipelines using `create_pipeline` and then trigger them via the agent. The MCP Server manages the entire sequence, letting your AI client see the full execution path from start to finish.

Yep. You can run a chatbot and maintain context using `run_chatbot`. The server handles the state, so your agent doesn't have to worry about passing entire message logs with every call.

You can list everything happening on the MCP Server. Use `list_pipelines` or `list_knowledge_bases` to see what exists, which is great for auditing automated actions.

It's built for that. You can start a job with `run_pipeline` and, if necessary, pause or resume it using the corresponding tools, ensuring stability across extended runs.

This MCP Server handles structured knowledge base documents and conversational messages. It's critical to monitor inputs used for `index_knowledge_base` calls.

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