8,502 servers
A production-ready Model Context Protocol (MCP) server built with the official C# SDK and hosted on Kestrel via ASP.NET Core. Includes sample tools, full Kestrel configuration, and is designed for high-performance, secure exposure of AI capabilities. Perfect starter for .NET developers integrating MCP with modern web hosting.
List, configure, chat with, analyse and embed your Echo AI assistants.
Sequential Thinking MCP server follows First principle thinking framework
Japanese public-sector business opportunities for AI agents: tenders, subsidies, sanctions. x402.
Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.
LLDB MCP/HTTP server - drive LLDB from an external AI agent via a dbg_exec tool
AI-powered grocery cart control for PC Express/Loblaws stores via Model Context Protocol (MCP)
Drive your real WhatsApp inbox from Claude — send, reply, label, assign, and triage via TimelinesAI.
Find, wire, and render microcharts — word-sized React charts with generated alt text.
Provider-neutral web_search for AI agents. Grounding + agent search APIs, keyless defaults.
A legal home for AI agents: Wyoming $299 or Nevis LLC. Free diagnostic; agents pay in USDC/USDT.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
This project demonstrates a Model Context Protocol (MCP) server and client implementation in .NET
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
W3C Web Model Context Protocol (WebMCP) API polyfill. Let AI agents like Claude, ChatGPT, and Gemini interact with your website via document.modelContext.
Budget, payment and audit controls for AI agent API calls and MCP tool calls.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
MCP (Model Context Protocol) server — read-only spread-query tools for MCP clients
Draft, schedule, publish, and analyze your LinkedIn posts from your AI assistant via Taplio.