Bedrock

Collection of examples of how to use Model Context Protocol with AWS.

MCP server for understanding AWS spend

Creating Amazon Bedrock agents with Streamlit Framework

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

Unified OpenAI-compatible proxy gateway supporting 100+ LLMs (Bedrock, Anthropic, Gemini, Vertex, Azure) with load balancing and fallbacks.

Claude Code plugins and agent skills for AWS development — IaC(CDK/SST), serverless, cost ops, and Bedrock AgentCore

route Claude Code requests through multiple upstream providers (OpenCode Go, OpenCode Zen, and AWS Bedrock) with automatic model selection and format transformation.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS

Learn AI Engineering! Learn it. Build it. Ship it for others.

Official Brave Search Model Context Protocol server enabling AI assistants to perform web, local, and news searches with privacy preservation.

Autonomous coding agent as an SDK, IDE extension, or CLI assistant.

Open-source software repository.

MCP server for GitLab project management, merge requests, branch commits, and CI/CD pipeline triggers.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Model Context Protocol server retrieving stack traces, error issues, and debug breadcrumbs from Sentry for automated bug fixing.

Model Context Protocol server for searching, reading, and extracting content from Google Drive documents and spreadsheets.

Model Context Protocol reference server providing secure, read-only and analytical schema exploration and SQL query execution against PostgreSQL databases.

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Model Context Protocol server connecting AI assistants to Slack channels, direct messages, and thread summaries.

Hugging Face's lightweight Python library for autonomous CodeAgents that write and execute actions in plain Python syntax instead of cumbersome JSON.

Standardized tool use definitions and execution harnesses for Claude models, including Computer Use, Bash execution, and text editing skills.

Model Context Protocol server for inspecting Redis keys, monitoring memory, and querying in-memory datastores.

Model Context Protocol server enabling autonomous browser navigation, web scraping, and HTML screenshot capture for AI agents.

Model Context Protocol server for semantic passage re-ranking and cross-encoder relevance scoring across complex RAG contexts.