pgvector (Vector Database) MCP Server for Cursor 6 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": {
"pgvector-vector-database": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About pgvector (Vector Database) MCP Server
Connect your PostgreSQL + pgvector database to any AI agent and manage vector embeddings, similarity searches, and index optimizations through natural conversation.
Cursor's Agent mode turns pgvector (Vector Database) into an in-editor superpower. Ask Cursor to generate code using live data from pgvector (Vector Database) and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Vector Similarity Search — Run nearest-neighbor queries using cosine, L2, or inner product distance metrics across millions of embeddings with a single prompt.
- Table Management — Discover which tables contain vector columns, create new embedding tables with custom dimensions, and inspect your schema.
- Embedding CRUD — Insert, update, and delete individual vector entries with metadata, keeping your knowledge base fresh and accurate.
- Index Optimization — Create HNSW or IVFFlat indexes on vector columns to accelerate approximate nearest-neighbor (ANN) queries by orders of magnitude.
The pgvector (Vector Database) MCP Server exposes 6 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 pgvector (Vector Database) to Cursor via MCP
Follow these steps to integrate the pgvector (Vector Database) 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 pgvector (Vector Database)
Open Agent mode in chat and ask: "Using pgvector (Vector Database), help me...". 6 tools available
Why Use Cursor with the pgvector (Vector Database) MCP Server
Cursor AI Code Editor provides unique advantages when paired with pgvector (Vector Database) 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
pgvector (Vector Database) + Cursor Use Cases
Practical scenarios where Cursor combined with the pgvector (Vector Database) 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
pgvector (Vector Database) MCP Tools for Cursor (6)
These 6 tools become available when you connect pgvector (Vector Database) to Cursor via MCP:
create_index
Create vector index
create_table
Create vector table
delete_vector
Delete a vector
insert_vector
Insert a vector
list_tables
List tables
search_vectors
Vector similarity search
Example Prompts for pgvector (Vector Database) in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with pgvector (Vector Database) immediately.
"Show me all tables with vector columns in my database."
"Search for the 5 most similar documents to this query in the document_chunks table."
"Create a new table called 'support_tickets' with 1536-dimension vectors and an HNSW index."
Troubleshooting pgvector (Vector Database) MCP Server with Cursor
Common issues when connecting pgvector (Vector Database) to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
pgvector (Vector Database) + Cursor FAQ
Common questions about integrating pgvector (Vector Database) 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?
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Connect pgvector (Vector Database) to Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.