pgvector (Vector Database) MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect pgvector (Vector Database) 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 pgvector (Vector Database) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"pgvector-vector-database": {
"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 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.
Windsurf's Cascade agent chains multiple pgvector (Vector Database) 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 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 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 pgvector (Vector Database) to Windsurf via MCP
Follow these steps to integrate the pgvector (Vector Database) 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 pgvector (Vector Database)
Open Cascade and ask: "Using pgvector (Vector Database), help me..." — 6 tools available
Why Use Windsurf with the pgvector (Vector Database) MCP Server
Windsurf provides unique advantages when paired with pgvector (Vector Database) 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
pgvector (Vector Database) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the pgvector (Vector Database) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from pgvector (Vector Database) and generate models, types, or handlers based on real API responses
Live debugging: query pgvector (Vector Database) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from pgvector (Vector Database) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine pgvector (Vector Database) data with Cascade's code generation to scaffold entire features in minutes
pgvector (Vector Database) MCP Tools for Windsurf (6)
These 6 tools become available when you connect pgvector (Vector Database) to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting pgvector (Vector Database) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
pgvector (Vector Database) + Windsurf FAQ
Common questions about integrating pgvector (Vector Database) 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 pgvector (Vector Database) with your favorite client
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Connect pgvector (Vector Database) to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.