Weaviate MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Weaviate through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Weaviate and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"weaviate": {
"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 Weaviate MCP Server
Connect your Weaviate instance to any AI agent and harness the power of vector search and semantic data management through natural conversation.
Windsurf's Cascade agent chains multiple Weaviate tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Semantic Search — Perform nearest neighbor vector similarity searches to find relevant content based on context and meaning
- Schema Management — Retrieve the complete instance schema or specific class definitions to understand your data structure
- Object Discovery — Browse and list data objects within any class, including full property values and vector data
- Deep Data Audit — Retrieve specific data objects by their UUID to inspect metadata and internal configurations
- Cluster Monitoring — Monitor operational health, node status, and resource usage of your Weaviate cluster nodes
- Instance Metadata — View server version, enabled modules, and high-level configuration details directly from your agent
The Weaviate MCP Server exposes 7 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 Weaviate to Windsurf via MCP
Follow these steps to integrate the Weaviate 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 Weaviate
Open Cascade and ask: "Using Weaviate, help me..." — 7 tools available
Why Use Windsurf with the Weaviate MCP Server
Windsurf provides unique advantages when paired with Weaviate 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 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Weaviate + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Weaviate MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Weaviate and generate models, types, or handlers based on real API responses
Live debugging: query Weaviate tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Weaviate and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Weaviate data with Cascade's code generation to scaffold entire features in minutes
Weaviate MCP Tools for Windsurf (7)
These 7 tools become available when you connect Weaviate to Windsurf via MCP:
get_class_schema
Retrieves the schema definition for a specific class (collection)
get_cluster_nodes
Retrieves operational information about the Weaviate cluster nodes
get_full_schema
Retrieves the complete Weaviate schema (all collections)
get_instance_metadata
Retrieves metadata about the Weaviate instance
get_object_details
Retrieves a specific data object by its UUID
list_objects
Supports basic pagination via limit. Lists data objects within a specific class
search_near_vector
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Example Prompts for Weaviate in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Weaviate immediately.
"List all classes in my Weaviate schema."
"Search the 'Article' class for items similar to this vector: [0.12, -0.05, 0.88, ...]."
"What is the current health status of my Weaviate cluster nodes?"
Troubleshooting Weaviate MCP Server with Windsurf
Common issues when connecting Weaviate to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Weaviate + Windsurf FAQ
Common questions about integrating Weaviate 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 Weaviate with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Microsoft's framework for multi-agent collaborative conversations.
Connect Weaviate to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.