Amazon Bedrock KB MCP Server for Cursor 6 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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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.
Cursor's Agent mode turns Amazon Bedrock KB into an in-editor superpower. Ask Cursor to generate code using live data from Amazon Bedrock KB and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Amazon Bedrock KB MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Amazon Bedrock KB
Open Agent mode in chat and ask: "Using Amazon Bedrock KB, help me...". 6 tools available
Why Use Cursor with the Amazon Bedrock KB MCP Server
Cursor AI Code Editor provides unique advantages when paired with Amazon Bedrock KB through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Amazon Bedrock KB + Cursor Use Cases
Practical scenarios where Cursor combined with the Amazon Bedrock KB MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Amazon Bedrock KB MCP Tools for Cursor (6)
These 6 tools become available when you connect Amazon Bedrock KB to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Amazon Bedrock KB to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Amazon Bedrock KB + Cursor FAQ
Common questions about integrating Amazon Bedrock KB MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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Connect Amazon Bedrock KB to Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.