An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with AWS S3 Control API through natural language, auto-generated using AG2's MCP builder.
An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.
A Model Context Protocol (MCP) server that enables integration of Strands agents with Amazon Q and other MCP-compatible systems through a plugin architecture.
Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.
Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.
A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.
MCP server to manage agents, prompts, sessions, and metrics using strands-hub data stored in S3. Provides tools for listing agents, creating prompt versions, and querying run metrics.
Exposes Amazon Nova Act browser-automation tools via the Model Context Protocol, enabling AI agents to control a web browser through natural language instructions.
hermes-mcp-s is a modular MCP suite host for Hermes and other agents. It provides one stdio MCP server that can load long-lived personal automation capabilities as installable external modules.
Enables interaction with S2 StreamStore to manage basins, access tokens, and data streams through a progressive tool disclosure workflow. It allows AI agents to efficiently navigate between account management, basin configuration, and stream-level operations like reading or writing records.
Deploys a minimal MCP-compatible Python tool server on Amazon EKS that establishes an outbound WebSocket connection to an AgentCore Gateway. It exposes two tools (get_system_info and echo_data) for tool discovery and invocation through the MCP protocol.
A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.
Lets AI agents schedule and manage HTTP jobs, cron schedules, rate-limited buffers, and alert channels via natural language, backed by Fliq's Postgres-native job scheduler.
MCP server for discovering and installing AI agent skills from agentskill.sh. Search skills across platforms, browse trending skills, and install them with built-in security scanning.
Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.
MCP server that enables AI tools to control local browser sessions for ChatGPT, Claude, and other AI services, supporting querying, navigation, file uploads, and artifact management.