This MCP server facilitates AI assistants to perform targeted searches through knowledge bases by integrating AWS Bedrock, Pinecone, and Cloudflare Workers, supporting streamable HTTP and SSE transports for efficient data retrieval.
Added on:
Created by:
Apr 27 2025
This MCP server facilitates AI assistants to perform targeted searches through knowledge bases by integrating AWS Bedrock, Pinecone, and Cloudflare Workers, supporting streamable HTTP and SSE transports for efficient data retrieval.
Added on:
Created by:
Apr 27 2025
Đààơ
Featured
What is AWS Knowledge Base MCP Server?
The AWS Knowledge Base MCP Server is a comprehensive system allowing AI assistants to efficiently search and retrieve documentation and knowledge base data via AWS Bedrock, Pinecone, and Cloudflare Workers. It creates a scalable infrastructure with components like S3 for storage, Lambda for API functions, and a MPC server supporting streamable HTTP/ SSE transports. The server provides a tool called 'search_knowledge_base' that facilitates querying the stored knowledge data, enabling smarter and more accurate AI responses within various applications. Its architecture supports easy deployment, update, and integration of large documentation sets with high performance and security features.
Who will use AWS Knowledge Base MCP Server?
- AI developers
- Enterprise knowledge management teams
- AI researchers
- Chatbot developers
- Technical documentation teams
How to use the AWS Knowledge Base MCP Server?
- Step 1: Set up the infrastructure using CDK and configure AWS resources.
- Step 2: Deploy the MCP server on Cloudflare or AWS Lambda.
- Step 3: Upload knowledge base documents to S3 and update the index.
- Step 4: Connect the MCP client SDK to the MCP server URL.
- Step 5: Use the 'search_knowledge_base' tool within your AI application to perform searches.
AWS Knowledge Base MCP Server's Core Features & Benefits
The Core Features
- search_knowledge_base tool
- Supports SSE and streamable HTTP transports
- Integrates with AWS Bedrock, Pinecone, and Cloudflare Workers
- Automated knowledge base updates from documentation
- Secure API and access control
The Benefits
- Enables targeted knowledge search for AI assistants
- Supports real-time and streaming data retrieval
- Scalable and customizable infrastructure
- Supports multiple deployment environments
- Enhances AI response accuracy
AWS Knowledge Base MCP Server's Main Use Cases & Applications
- AI-powered customer support with dynamic documentation retrieval
- Automated internal knowledge management systems
- Integration of large document repositories with AI chatbots
- Real-time search for technical documentation in enterprise tools
FAQs of AWS Knowledge Base MCP Server
Developer
- daohoangson
You may also like:
Research And Data
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A server accessing League of Legends game data via the Live Client Data API, providing real-time in-game information.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A Python client for managing multiple MCP servers with support for various transports and server types.
A server connecting PatentSafe to retrieve documents via Lucene queries for patent data analysis.
An Android-native MCP client enabling multiplayer connectivity for Minecraft Pocket Edition.
Enables AI to manage Kubernetes applications by creating high-level modules, reducing misconfigurations and boosting deployment speed.
Cloud Platforms
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A curated list of best practices for building MCP Servers and MCP Clients, focusing on security, deployment, and naming standards.
A server template for creating Modular Cloud Platform (MCP) components with TypeScript support.
Open-source MCP client framework to connect and manage multiple MCPs for streamlined integration.
A client facilitating function calling integrations with Huawei's functions SDK for efficient API interactions.
Secure SSE server enabling AI tool communication with JWT authentication and dynamic tool registration.
A sample implementation demonstrating how to build a MCP server and client using Cloudflare Workers.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
A Node.js and TypeScript-based MCP server enabling AI model communication in a serverless Azure environment.
Knowledge And Memory
Provides an MCP server and client framework for custom modding and resource pack integration in Minecraft.
A memory MCP server utilizing a kanban board system for managing complex multi-session workflows with AI agents.
A simple MCP for integrating Anki with AI assistance for flashcard creation and study management.
A Next.js-based chat interface connecting to MCP servers with tool-calling and styled UI.
A Spring Boot-based MCP client demonstrating how to handle chat requests and responses in a robust application.
Spring Boot app providing REST API for AI inference and knowledge base management with language model integration.
A server that executes AppleScript commands, providing full control over macOS automations remotely.
An MCP server for managing notes with features like viewing, adding, deleting, and searching notes in Claude Desktop.
Fetches latest knowledge from deepwiki.com, converts pages to Markdown, and provides structured or single document outputs.
A client library enabling SSE-based real-time interaction with Notion MCP servers through a local setup.