Vald 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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{
"mcpServers": {
"vald": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Vald MCP Server
Connect your Vald cluster to any AI agent and bring distributed, high-speed approximate nearest neighbor (ANN) vector search directly to your conversational workflow.
GitHub Copilot Agent mode brings Vald 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
- Vector Search — Perform rapid semantic searches across millions of embedded data points just by querying the agent.
- Data Ingestion — Insert new high-dimensional vectors directly into the Vald index for instant future retrievability in your RAG pipelines.
- Index Management — Update the vector representations of existing records or permanently remove specific items from the engine cluster.
- Cluster Health — Automatically retrieve operational system information, agent health statuses, and node details regarding your active Vald deployment.
The Vald 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 Vald to VS Code Copilot via MCP
Follow these steps to integrate the Vald 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 Vald
Ask Copilot: "Using Vald, help me...". 6 tools available
Why Use VS Code Copilot with the Vald MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Vald 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
Vald + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Vald 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
Vald MCP Tools for VS Code Copilot (6)
These 6 tools become available when you connect Vald to VS Code Copilot via MCP:
delete_vector
This action is irreversible. Permanently removes a vector from the Vald index
get_engine_info
Retrieves operational information and health of the Vald engine
get_vector_details
Retrieves the raw vector data for a specific ID
insert_vector
Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index
search_vectors
Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
update_vector
Provide the existing ID and new vector array. Updates an existing vector in the Vald index
Example Prompts for Vald in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Vald immediately.
"Is the Vald cluster operational right now?"
"Can you check the vector details stored for UUID 'user-profile-89'?"
"Update the existing item 'context-fragment-12' with this new 1536-dimensional array: [0.38, -0.19, 0...]."
Troubleshooting Vald MCP Server with VS Code Copilot
Common issues when connecting Vald to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Vald + VS Code Copilot FAQ
Common questions about integrating Vald 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 Vald with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Vald to VS Code Copilot
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.