mcp startup framework

This repository provides a working, deployable, open source-based, serverless MCP server blueprint with an AWS Lambda function and AWS CDK Python code with all the best practices and a complete CI/CD pipeline.

Exposes Ollama SDK as a zero-config toolset with hot-swap discovery, local-plus-cloud modeling, and web-enabled tools for Claude Desktop and Cline.

A collection of MCP servers

An SSE-based interface enabling LLM-powered apps to query OCI registries for image facts like metadata, tags, manifests, and configs with secure, token-based authentication.

Single platform enabling authenticated Google Workspace access across Gmail, Calendar, and Drive via a manifest-driven factory with multi-account routing and tailored responses.

Local Glean integration enabling fast experiments with Docker or npx, with configurable clients and remote update support.

Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute

Creates a simple MCP tool server with "streaming" HTTP.

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

Provides Google Vertex AI Search results by grounding a Gemini model with your own private data

Extensible Datadog integration offering incident management, monitors, logs, dashboards, metrics, and RUM/APM data access.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Google Cloud Platform environment. This allows for natural language querying and management of your GCP resources during conversations.

Leveraging Databricks Unity Catalog metadata, perform smart efficient SQL queries to solve Ad-hoc queries and explore data.

A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.

Supabase MCP server created in Python.

A centralized hub for platform engineering teams, providing resources, best practices, and automation tools. Includes IaC templates, blueprints, and operational guides to help build scalable, secure, and efficient platforms for cloud-native environments and DevSecOps workflows.

Unified resource discovery and codification across cloud and SaaS with Firefly, secure key-based auth, and Cursor/Claude integration.

An MCP server that seamlessly creates infrastructure diagrams for AWS, Azure, GCP, Kubernetes and more

✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

Bridge MCP clients with Google Tasks, offering persistent OAuth, full task/list management, and safe, type-safe integration for popular clients.

AWS EC2 pricing data access with flexible filters, multiple pricing models, and server/serverless deployment for fast, up-to-date cost insights.

Getting Started with Remote MCP Servers using Azure Functions (Python)

Unified toolkit delivering on-chain analytics, wallet automation, and AI-driven blockchain tasks across multiple networks.