Mcp Client AI Agent Skills

This project implements an independently-developed CipherTrust MCP (Model Context Protocol) server that allows AI Assistants like Claude or Cursor to interact with CipherTrust Manager resources using the ksctl CLI. - Important Notice - Prerequisites - Installation - Configuration - Integration with AI Assistants - Environment Variables - Troubleshooting - Project Structure - Contributing This is a

Watch AG-UI + LangChain demo - SSE - Server-Sent Events for connection state and observability updates - Flexible Storage - Redis, SQLite, File System, or In-Memory backends - Serverless - Works in serverless environments (Vercel, AWS Lambda, etc.) - React Hook - useMcp hook for easy React integration - Vue Composable - useMcp composable for Vue applications - MCP Protocol - Support for tools, pro

- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP

An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

MCP server for transferring conversation context between AI chats or different projects within the same AI. - Audit Logging (v0.7.0+): Optional structured JSONL logging for diagnostics (--audit flag) - Verbatim Conversation Saving (v0.6.1+): AI saves complete conversations without summarization or abbreviation - Merge Handoffs (v0.6.0+): Combine multiple related handoffs into one unified context -

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

Production-ready Rust SDK for the Model Context Protocol (MCP) with zero-boilerplate development and progressive enhancement. Build MCP servers in seconds with automatic schema generation, type-safe handlers, and multiple transport protocols. - Rust 1.89.0+ (Edition 2024) - Check with rustc --version - Tokio async runtime Add to your Cargo.toml: Or with cargo: TurboMCP uses feature flags for progr

A Model Context Protocol (MCP) server for interacting with the Solscan Pro API for Solana blockchain data. This server provides tools to query token information, account activities, and transaction details on the Solana blockchain via Large Language Models. Simple prompts: You can also use it for much more complex queries, like analyzing criminal activity combining multiple MCPs and correct contex