Amazon Bedrock KB 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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The modern way to manage MCP Servers — no config files, no terminal commands. Install Amazon Bedrock KB and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"amazon-bedrock-kb": {
"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 Amazon Bedrock KB MCP Server
Connect your Amazon Bedrock account to any AI agent and empower it with managed vector databases, enterprise RAG workflows, and semantic search directly inside AWS.
GitHub Copilot Agent mode brings Amazon Bedrock KB 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
- Managed RAG — Generate grounded LLM responses using internal document sets in a single explicit call
- Semantic Retrieval — Query vector indexes to retrieve exact top-K text chunks and their origin document URLs
- Data Sources — Inspect and paginate attached storage buckets feeding the knowledge base
- Ingestion Jobs — Track real-time syncing status of chunking pipelines mapping documents across the vector layout
- Knowledge Base Introspection — List available vector stores and exact embedding models assigned directly to your region
The Amazon Bedrock KB 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 Amazon Bedrock KB to VS Code Copilot via MCP
Follow these steps to integrate the Amazon Bedrock KB 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 Amazon Bedrock KB
Ask Copilot: "Using Amazon Bedrock KB, help me..." — 6 tools available
Why Use VS Code Copilot with the Amazon Bedrock KB MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Amazon Bedrock KB 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
Amazon Bedrock KB + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Amazon Bedrock KB 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
Amazon Bedrock KB MCP Tools for VS Code Copilot (6)
These 6 tools become available when you connect Amazon Bedrock KB to VS Code Copilot via MCP:
get_knowledge_base
Get an explicit AWS Bedrock knowledge base
list_data_sources
List Data Sources bound explicitly to an AWS Bedrock KB
list_ingestion_jobs
List AWS Bedrock KB explicit sync operations
list_knowledge_bases
List AWS Bedrock knowledge bases
retrieve
Query a vector index securely via AWS Bedrock
retrieve_and_generate
Generate explicitly grounded LLM responses using Bedrock KB
Example Prompts for Amazon Bedrock KB in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Amazon Bedrock KB immediately.
"Which knowledge bases and embedding models do I have setup?"
"Run a retrieval query for 'onboarding process checklist' on my KB and show me the top 3 snippets."
"Check the status of the S3 ingestion job for my Documentation bucket."
Troubleshooting Amazon Bedrock KB MCP Server with VS Code Copilot
Common issues when connecting Amazon Bedrock KB to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Amazon Bedrock KB + VS Code Copilot FAQ
Common questions about integrating Amazon Bedrock KB 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 Amazon Bedrock KB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Amazon Bedrock KB to VS Code Copilot
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.