model context protocol mcp with vercel functions

Redis-backed, Vercel-powered deployment template using Fluid Compute and TypeScript SDK for rapid prototyping.

Vercel-based MCP server template with Redis backing and Fluid Compute for scalable, serverless prompts.

Lightweight Python MCP server exposing /mcp on port 8000 via FastMCP for rapid model context handling.

Unified, modular context-sharing framework with ready endpoints, client-UI integration, and cloud-ready deployment for seamless model-assisted workflows.

Edge-deployed, read-only portfolio data interface with SSE streaming, Django REST integration, and Claude Desktop compatibility for fast, secure exploration.

OCI-based model-context provider enabling AI assistants to manage compute, networking, storage, and Kubernetes with multi-auth options and safety safeguards.

Automates end-to-end deployment, health checks, tool discovery, and gateway registration for Lambda-based Model Context Protocol integrations via GitHub Actions.

Audits AWS SCP configurations, compares policy details and targets, and helps troubleshoot governance across AWS Organizations.

Developed Model Context Protocol (MCP) server for seamless AI model integration and medical document processing

Unified CLI for deploying and managing Model Context Protocol workloads across Kubernetes and Docker with real-time health and endpoint discovery.

Hands-on MCP server template with humor-focused data sources, local and Azure deployment, and seamless Copilot Studio integration for secure, real-time LLM context.

Python-powered interface bridging AWS Bedrock with MCP, offering a web chat, multi-model access, and MCP-formatted responses for streamlined integration.

A tools for Model Context Protocol (MCP) in Azure

Go-based integration enabling AI assistants to access NetSuite data via SuiteQL queries and metadata, secured with certificate-based authentication.

Integrates an MCP server with GitHub Copilot to automate research, issue management, and PR workflows in AI-assisted development.

Cloud automation for Azure: manage subscriptions, resources, and AKS via Claude with flexible outputs.

LangGraph-powered orchestration for Azure resources with Cosmos DB, memory management, and REST APIs enabling natural language access to data.

Deploying Model Context Protocol Servers on AWS

model context protocol mcp with vercel functions

Vercel-based template with Redis-backed state and Fluid Compute for fast, scalable prototyping with MCP tooling.

Comprehensive template enabling Claude-4-Sonnet integration, enterprise-grade security, automated setup, and extensible architecture across macOS, Linux, and Windows to streamline multi-domain AI deployments.

Web-based platform to deploy, manage, and monitor MCP instances from GitHub with containerization and cloud deployment.

AI-powered Google Drive integration with MCP for smart file discovery, content analysis, and organization insights.