Bring Embeddings
to VS Code Copilot
Create your Vinkius account to connect pgvector (Vector Database) to VS Code Copilot and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to the pgvector integration on the marketplace.
- Paste your PostgreSQL connection string (e.g.,
postgresql://user:pass@host:5432/db). - Ask your AI agent to search vectors, create tables, or optimize indexes.
Who is this for?
- AI Engineers — Build RAG (Retrieval-Augmented Generation) pipelines that query production embeddings without writing custom API endpoints.
- Data Architects — Manage vector schemas, monitor index performance, and optimize query latency from a single conversational interface.
- Fullstack Developers — Add semantic search to existing apps by querying pgvector directly through your AI agent, no new microservices needed.
Built-in capabilities (6)
Create vector index
Create vector table
Delete a vector
Insert a vector
List tables
Vector similarity search
Why VS Code Copilot?
GitHub Copilot Agent mode brings pgvector (Vector Database) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
- —
Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
- —
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
pgvector (Vector Database) in VS Code Copilot
Why run pgvector (Vector Database) with Vinkius?
The pgvector (Vector Database) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect pgvector (Vector Database) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
pgvector (Vector Database) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect pgvector (Vector Database) to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
pgvector (Vector Database) for VS Code Copilot
Every request between VS Code Copilot and pgvector (Vector Database) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Does the agent connect directly to my database?
Yes. Your connection string is encrypted at rest and injected into an isolated runtime. The agent connects directly to your PostgreSQL instance — no intermediate proxies, no data copies, no third-party storage.
What vector dimensions are supported?
Any dimension supported by pgvector — from small 128-d vectors to large 3072-d embeddings (e.g., OpenAI text-embedding-3-large). Specify the dimension when creating a table and the agent handles the rest.
Which distance metrics can I use for similarity search?
pgvector supports three operators: <-> (L2/Euclidean distance), <=> (cosine distance), and <#> (negative inner product). The agent uses cosine distance by default, which works best for normalized embeddings like those from OpenAI.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
Explore More MCP Servers
View all →
NOAA Full — Ultimate Weather & Climate Intelligence
36 toolsThe definitive NOAA Mega-Server: 36 tools spanning weather forecasts, severe alerts, current observations, aviation METARs/TAFs, marine tides and currents, space weather aurora and solar wind, and decades of historical climate records — all from 5 official NOAA APIs.
Ping Identity
10 toolsManage PingOne user identities, applications, groups, risk policies, and sign-on flows autonomously via AI.
Terraform Cloud (HCP)
42 toolsManage infrastructure lifecycle via Terraform Cloud (HCP) — list organizations, manage workspaces, trigger runs, and inspect state outputs directly from your AI agent.
Brandwatch
8 toolsAccess consumer research via Brandwatch — list projects, track queries, and retrieve social mentions directly from any AI agent.