Marqo AI (Vector Search & Embeddings) MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Marqo AI (Vector Search & Embeddings) 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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{
"mcpServers": {
"marqo-ai-vector-search-embeddings": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Marqo AI (Vector Search & Embeddings) MCP Server
Connect your Marqo instance to any AI agent and take full control of your semantic search infrastructure, vector embeddings, and real-time document indexing through natural conversation.
Windsurf's Cascade agent chains multiple Marqo AI (Vector Search & Embeddings) 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
- Tensor Search Orchestration — Execute dense semantic similarity searches against your indices using natural language queries, with Marqo handling embedding extraction automatically
- Dynamic Document Ingestion — Write new JSON records into your vector indices directly from your agent, allowing for instant searchability of fresh data mappings
- Index Lifecycle Management — Create explicitly bounded new vector indices with custom model settings and dimension constraints to optimize your search architecture
- Vector Audit & Stats — Retrieve detailed configuration metrics for your indices, including document counts, embedding model types, and underlying schema mappings
- Precision Deletion — Physically eradicate vectorized representations by targeting specific scalar identifiers to maintain a clean and relevant search index
- Resource Inventory — List all available vector indices on your Marqo instance to identify collection boundaries before executing search queries
The Marqo AI (Vector Search & Embeddings) 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 Marqo AI (Vector Search & Embeddings) to Windsurf via MCP
Follow these steps to integrate the Marqo AI (Vector Search & Embeddings) 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 Marqo AI (Vector Search & Embeddings)
Open Cascade and ask: "Using Marqo AI (Vector Search & Embeddings), help me..." — 6 tools available
Why Use Windsurf with the Marqo AI (Vector Search & Embeddings) MCP Server
Windsurf provides unique advantages when paired with Marqo AI (Vector Search & Embeddings) 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
Marqo AI (Vector Search & Embeddings) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Marqo AI (Vector Search & Embeddings) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Marqo AI (Vector Search & Embeddings) and generate models, types, or handlers based on real API responses
Live debugging: query Marqo AI (Vector Search & Embeddings) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Marqo AI (Vector Search & Embeddings) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Marqo AI (Vector Search & Embeddings) data with Cascade's code generation to scaffold entire features in minutes
Marqo AI (Vector Search & Embeddings) MCP Tools for Windsurf (6)
These 6 tools become available when you connect Marqo AI (Vector Search & Embeddings) to Windsurf via MCP:
add_documents
Write new documents into Marqo
create_index
Create an explicitly bounded new vector index
delete_documents
Delete specific documents from Marqo by targeting their IDs
get_index_stats
Get configuration and stats for an index
list_indexes
Crucial before writing queries hitting arbitrary collections. List all Marqo vector indexes
tensor_search
Perform natural language tensor search on Marqo
Example Prompts for Marqo AI (Vector Search & Embeddings) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Marqo AI (Vector Search & Embeddings) immediately.
"Semantic search in index 'products' for 'lightweight running shoes for trails'"
"List all vector indexes in my Marqo instance"
"Add this document to the 'support-docs' index: {"title": "API Auth", "content": "Use Marqo-API-Key header"}"
Troubleshooting Marqo AI (Vector Search & Embeddings) MCP Server with Windsurf
Common issues when connecting Marqo AI (Vector Search & Embeddings) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Marqo AI (Vector Search & Embeddings) + Windsurf FAQ
Common questions about integrating Marqo AI (Vector Search & Embeddings) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
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?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Marqo AI (Vector Search & Embeddings) with your favorite client
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Connect Marqo AI (Vector Search & Embeddings) to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.