Weaviate MCP Server for Cursor 7 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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"mcpServers": {
"weaviate": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
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* 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.
Cursor's Agent mode turns Weaviate into an in-editor superpower. Ask Cursor to generate code using live data from Weaviate and it fetches, processes, and writes — all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Weaviate MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Weaviate
Open Agent mode in chat and ask: "Using Weaviate, help me..." — 7 tools available
Why Use Cursor with the Weaviate MCP Server
Cursor AI Code Editor provides unique advantages when paired with Weaviate through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Weaviate + Cursor Use Cases
Practical scenarios where Cursor combined with the Weaviate MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Weaviate MCP Tools for Cursor (7)
These 7 tools become available when you connect Weaviate to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Weaviate to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Weaviate + Cursor FAQ
Common questions about integrating Weaviate MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Weaviate with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Weaviate to Cursor
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
