Vald MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Vald 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.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Vald and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"vald": {
"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 Vald MCP Server
Connect your Vald cluster to any AI agent and bring distributed, high-speed approximate nearest neighbor (ANN) vector search directly to your conversational workflow.
Windsurf's Cascade agent chains multiple Vald 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
- Vector Search — Perform rapid semantic searches across millions of embedded data points just by querying the agent.
- Data Ingestion — Insert new high-dimensional vectors directly into the Vald index for instant future retrievability in your RAG pipelines.
- Index Management — Update the vector representations of existing records or permanently remove specific items from the engine cluster.
- Cluster Health — Automatically retrieve operational system information, agent health statuses, and node details regarding your active Vald deployment.
The Vald 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 Vald to Windsurf via MCP
Follow these steps to integrate the Vald 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 Vald
Open Cascade and ask: "Using Vald, help me..." — 6 tools available
Why Use Windsurf with the Vald MCP Server
Windsurf provides unique advantages when paired with Vald 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
Vald + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Vald MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Vald and generate models, types, or handlers based on real API responses
Live debugging: query Vald tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Vald and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Vald data with Cascade's code generation to scaffold entire features in minutes
Vald MCP Tools for Windsurf (6)
These 6 tools become available when you connect Vald to Windsurf via MCP:
delete_vector
This action is irreversible. Permanently removes a vector from the Vald index
get_engine_info
Retrieves operational information and health of the Vald engine
get_vector_details
Retrieves the raw vector data for a specific ID
insert_vector
Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index
search_vectors
Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
update_vector
Provide the existing ID and new vector array. Updates an existing vector in the Vald index
Example Prompts for Vald in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Vald immediately.
"Is the Vald cluster operational right now?"
"Can you check the vector details stored for UUID 'user-profile-89'?"
"Update the existing item 'context-fragment-12' with this new 1536-dimensional array: [0.38, -0.19, 0...]."
Troubleshooting Vald MCP Server with Windsurf
Common issues when connecting Vald to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Vald + Windsurf FAQ
Common questions about integrating Vald 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 Vald with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vald to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
