Amazon Bedrock KB MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Amazon Bedrock KB through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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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.
Windsurf's Cascade agent chains multiple Amazon Bedrock KB tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your 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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Amazon Bedrock KB MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Amazon Bedrock KB
Open Cascade and ask: "Using Amazon Bedrock KB, help me..." — 6 tools available
Why Use Windsurf with the Amazon Bedrock KB MCP Server
Windsurf provides unique advantages when paired with Amazon Bedrock KB through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Amazon Bedrock KB + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Amazon Bedrock KB MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Amazon Bedrock KB and generate models, types, or handlers based on real API responses
Live debugging: query Amazon Bedrock KB tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Amazon Bedrock KB and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Amazon Bedrock KB data with Cascade's code generation to scaffold entire features in minutes
Amazon Bedrock KB MCP Tools for Windsurf (6)
These 6 tools become available when you connect Amazon Bedrock KB to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Amazon Bedrock KB to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Amazon Bedrock KB + Windsurf FAQ
Common questions about integrating Amazon Bedrock KB MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Amazon Bedrock KB with your favorite client
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Connect Amazon Bedrock KB to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.