This repository contains a Remote Model Context Protocol (MCP) Server implemented using Azure Functions, built for enabling tooling support across Azure Native ISV Integrations. It includes MCP tools for Azure-integrated partner services listed under Azure Partner Solutions

Automates monthly Workday update timing by computing regional last working days for Israel and global teams.

Installs a standard JSON manifest and HTML header to make your endpoint discoverable by AI agents, with ready FastAPI and Express middleware.

Open protocol enabling LLMs to access data sources and tools through standardized connectors.

Delivers Eve Online data via SDE/ESI to AI tools, enabling live routing, system insights, and recent activity for simulations.

Python-based Sahha integration enabling context-aware prompts via CLI with Swagger-backed APIs.

Model context protocol Project

Secure MCP implementation enabling HTTP tool execution with sandboxed I/O and JWT-based access using FastMCP, Starlette, and Python 3.12.

Java-based MCP server specification exposed as a Spring Bean, with HTTP SSE transport and pluggable tool definitions to model context interactions.

Minimalist Go framework with zero external dependencies, enabling ultra-fast, lightweight model context deployments in a single binary.

A learning-oriented prompt-driven system that auto-converts YAML prompts into tools, supports multiple transports, and offers code-focused templates.

Transforms FFmpeg into AI-native media workflows with MCP, enabling automated, context-aware media processing and seamless integration.

Comprehensive Alpha Vantage access with endpoint consolidation to reduce context usage while preserving full data coverage across stocks, indicators, FX, crypto, and commodities.

A web-based demo showcasing MCP tool/resource definitions, server & web client interaction, with automatic webcontainer startup and a simple CLI for rapid exploration.

Modex-based starter for building Model Context Protocol tools in Clojure with uberjar support.

Or-Tools powered constraint solving interface enabling LLM-driven modeling, validation, optimization, and solution analysis via JSON specifications.

Python-based Trello operations exposed via natural language for streamlined board and card management.

DeskMCP bridges Teamwork Desk with AI assistants, delivering full resource access, advanced filters, and Docker-ready deployment.

Google Drive integration enabling file operations, folder management, and sharing with robust pagination for scalable AI workflows.

Dedicated computation helper for accurate arithmetic in LLM workflows, delivering precise, verifiable results with deterministic formatting and robust error handling.

Experimental bridge enabling AI models to run SQL against SQLite Cloud, manage schemas, and reveal performance insights with query analysis.

Gmail-specific access for LLMs enabling listing, reading, composing, replying, and batch deletion via Gmail API.

Cross-LLM context orchestration with persistent memory, modular tooling, and policy-driven workflows for richer, controllable AI interactions.

Awesome AdsMCP servers – standardizing ad APIs via Anthropic’s Model Context Protocol.