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Sample MCP server built with C# and .NET, containerized with Docker, deployed to Azure Container Apps, and called from a C# MCP client.

A basic MCP server demonstrating tool registration and SSE transport, enabling AI clients to call greeting, arithmetic, and time tools.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

An MCP server for LinkedIn automation that enables users to search for jobs, retrieve profile details, manage connections, and read or send messages. It leverages Playwright and Browserbase to interact with LinkedIn through an existing authenticated browser session.

Hosted MCP server that provides pay-per-success public-data result packs with source URLs, confidence, timestamps, and receipt hashes.

Integrates Deepgram's speech recognition and audio intelligence APIs, with a dynamic tool list fetched from the API at runtime. Supports stdio and SSE transports and is bundled with the Deepgram CLI for streamlined developer workflows.

Containerized, isolated environment for AI CLI agents using Podman and Nushell

This Octagon Deep Research MCP server by Octagon AI provides AI agents with specialized deep research capabilities through the Octagon API, offering comprehensive multi-source data aggregation, web scraping, academic research synthesis, competitive analysis, market intelligence, technical analysis, policy research, and trend analysis with no rate limits. Built with TypeScript using the MCP SDK and OpenAI client integration, it features streaming response processing, environment variable configuration, and robust error handling, positioning itself as faster than ChatGPT Deep Research and more thorough than Grok DeepSearch or Perplexity Deep Research. The implementation supports complex research queries across any domain through a single deep research agent tool, making it valuable for market research, competitive intelligence, academic analysis, policy investigation, and building AI assistants that need professional-grade research capabilities with comprehensive report generation.

Self-hosted MCP server for secure AI access to Microsoft Dynamics 365.

Official Homebrew tap for SandBase CLI—the local MCP bridge connecting 25 AI clients to 2,000+ models and APIs.

Helps developers choose optimal technology stacks through progressive questioning about project requirements, budget, and technical comfort level. Provides personalized recommendations focused on beginner-friendly Platform-as-a-Service solutions with deployment guides and cost estimates.

Responsive wireframe & sitemap component builder (Relume style)

MCP server for tmux operations that provides comprehensive control over tmux sessions, windows, and panes.

Provides access to Hong Kong financial data like business registrations, mortgage statistics, and HIBOR rates through a FastMCP interface.

Generate real pixel art — sprites, animations, and tilesets — from any MCP-capable AI assistant. Grid-aligned pixels, controlled palettes, transparent backgrounds, with cost estimation always free.

An MCP server that exposes rpcbind/RPC portmapper functionality, enabling querying and management of registered RPC services on remote hosts.

MCP server for web search and URL reading via CLIProxyAPI Antigravity backend, enabling web search, URL content retrieval, and grounded research.

AlertChecker is a general-purpose web monitoring service. Ask a yes/no question or describe a condition in natural language; it monitors relevant public web information and notifies you by email (or optionally push notifications) when the answer changes to yes. This MCP server provides a further way to create those alerts from an AI assistant.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A task management and productivity tool that enables creating, updating, filtering, and organizing todos with tags, priorities, and due dates, all stored locally in JSON format.