Can my agent perform kNN searches using raw vector arrays?

Yes. Use the 'search' tool. Provide the index name and a JSON array representing your query vector. The agent will perform raw K-Nearest Neighbors computations to find the most semantically similar documents.

How do I create a new vector index with specific dimensions via chat?

Use the 'create_index' tool. You can specify the index name and the number of dimensions (e.g., 1536 for OpenAI embeddings). The agent will provision the strictly typed data structure in your Elasticsearch cluster.

Can I delete a single document from a vector index through the agent?

Absolutely. Use the 'delete_document' tool with the index and document ID. The agent will enforce immediate document vaporization, stripping the record from the physical Lucene partitions.

Elasticsearch Vector MCP Server for Windsurf 6 tools — connect in under 2 minutes

Name: Elasticsearch Vector
Availability: InStock
Author: Vinkius

docs.windsurf.com/windsurf/mcp

Built by Vinkius GDPR 6 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Elasticsearch Vector through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.

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Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Elasticsearch Vector and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "elasticsearch-vector": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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IAMAccess control

EU AI ActCompliant

DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Elasticsearch Vector MCP Server

Connect your Elasticsearch cluster to any AI agent and take full control of your vector search and semantic discovery workflows through natural conversation.

Windsurf's Cascade agent chains multiple Elasticsearch Vector tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

AI-Powered Vector Search — Perform raw K-Nearest Neighbors (kNN) computations mapping absolute semantic similarity across multi-dimensional embedding arrays
Index Orchestration — Enumerate active storage namespaces and validate physical Elasticsearch clusters tracking explicit dimensional shards securely
Schema Management — Analyze specific index mapping rules and provision strictly typed data structures enforcing numeric dimensions for cluster readiness
Document Indexing — Command synchronous bulk insertions attaching exact dense_vector embedding payloads to persist data into raw Lucene partitions
Data Invalidation — Enforce immediate hard document vaporization finding specific exact UUIDs stripping records from physical indices seamlessly
Metadata Auditing — Analyze dimensional constraints and matching similarity thresholds perfectly to verify your vector search configurations

The Elasticsearch Vector MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Elasticsearch Vector to Windsurf via MCP

Follow these steps to integrate the Elasticsearch Vector MCP Server with Windsurf.

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using Elasticsearch Vector

Open Cascade and ask: "Using Elasticsearch Vector, help me..." — 6 tools available

Why Use Windsurf with the Elasticsearch Vector MCP Server

Windsurf provides unique advantages when paired with Elasticsearch Vector through the Model Context Protocol.

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Elasticsearch Vector + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Elasticsearch Vector MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Elasticsearch Vector and generate models, types, or handlers based on real API responses

Live debugging: query Elasticsearch Vector tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Elasticsearch Vector and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Elasticsearch Vector data with Cascade's code generation to scaffold entire features in minutes

Elasticsearch Vector MCP Tools for Windsurf (6)

These 6 tools become available when you connect Elasticsearch Vector to Windsurf via MCP:

create_index

Create dense_vector index

delete_document

Delete a document

get_index

Get index info

index_document

Index a document

list_indexes

List all indexes

search

Dense vector knn search

Example Prompts for Elasticsearch Vector in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Elasticsearch Vector immediately.

"Perform a kNN search in index 'product-embeddings' with vector [0.1, 0.2, ...]"

"Create a new vector index 'image-features' with 512 dimensions"

"List all vector indexes in my cluster"

Troubleshooting Elasticsearch Vector MCP Server with Windsurf

Common issues when connecting Elasticsearch Vector to Windsurf through the Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Elasticsearch Vector + Windsurf FAQ

Common questions about integrating Elasticsearch Vector MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system — it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.