Verba MCP Server for VS Code Copilot 6 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Verba and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"verba": {
"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 Verba MCP Server
Intertwine the open-source Verba (by Weaviate) ecosystem natively into your conversational AI IDE. Execute powerful Retrieval-Augmented Generation processes and manage your localized knowledge bases simply by chatting.
GitHub Copilot Agent mode brings Verba 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.
What you can do
- Augmented Queries — Cast a question to your agent and have it retrieve fully synthesized answers from the Verba engine completely backed up by exact document citations.
- Knowledge Management — Insert new context text, list all ingested documents, retrieve the deeply embedded raw data of any ID, or remove dead knowledge dynamically without Web UIs.
- Health Checks — Request system configurations directly via chat to ensure your local LLM connections, embedding models, and cluster health are firing effectively.
The Verba MCP Server exposes 6 tools through the Vinkius. Connect it to VS Code Copilot 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 Verba to VS Code Copilot via MCP
Follow these steps to integrate the Verba MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Verba
Ask Copilot: "Using Verba, help me...". 6 tools available
Why Use VS Code Copilot with the Verba MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Verba through the Model Context Protocol.
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
Verba + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Verba MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Verba MCP Tools for VS Code Copilot (6)
These 6 tools become available when you connect Verba to VS Code Copilot via MCP:
add_knowledge_document
Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base
delete_knowledge_document
This action is irreversible. Permanently removes a document from the knowledge base
get_document_details
Retrieves the full content and metadata of a specific document
get_system_config
Retrieves the current Verba system configuration
list_knowledge_documents
Lists all documents indexed in the Verba knowledge base
perform_rag_query
Returns summarized answers with citations. Executes a RAG (Retrieval Augmented Generation) query against the Verba knowledge base
Example Prompts for Verba in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Verba immediately.
"Check Verba's configuration to see which embedding model it is currently using."
"Perform a RAG query asking: 'What are our key deployment steps based on the infrastructure guide?'"
"List all documents and output the unique ID of the 'Employee Code of Conduct' file."
Troubleshooting Verba MCP Server with VS Code Copilot
Common issues when connecting Verba to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Verba + VS Code Copilot FAQ
Common questions about integrating Verba MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.Connect Verba with your favorite client
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TypeScript toolkit for building AI-powered web applications.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Verba to VS Code Copilot
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.