关键词 "Reward System" 的搜索结果, 共 24 条, 只显示前 480 条
SentinelCore is an advanced AI agent powered by Model Context Protocol. It can browse the web, interact with local file systems, and is designed to keep evolving with new features. Whether you're look
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments
The **python-mcp-server** project is a Flask-based web server designed to interact with Minecraft, likely as part of a larger system for managing Minecraft servers, plugins, or player data.
Fetch on steroids. Allow to retrieve content from any web pages, including those protected by Cloudflare and other security systems.
A simplest MCP system implemented in Python, including a client and several servers.
A zero-installation solution for AI agents to control remote macOS systems. Full desktop capabilities without extra software, using only built-in Screen Sharing. Works with Claude and any MCP client,
使用 MCP server 上傳的練習專案
MCP server for local system operations
A Go implementation of a Model Context Protocol (MCP) server that serves markdown files with frontmatter support from a filesystem.
Central logging server for the AI-MCP-Logger ecosystem
A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system.
A specialized Model Context Protocol (MCP) server for full-text search within a filesystem.
AI Master Control Program (MCP) Server - Enabling AI models to interact with your system
AI-powered local MCP server for terminal commands, surgical file editing, process management, and intelligent codebase exploration. FastMCP-powered, file system deep integration, unified diff patching
This repository offers MCP servers for different purposes, aiming to support developers who want to build similar systems.
Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.
A preconfigured development container setup for AI-assisted development with Claude, based on VS Code Dev Containers with integrated Model Context Protocol (MCP) server for file system and shell opera
mcp server to modify files savely in a root directory where user should not be able to escapce from
Secure middleware server implementing Model Context Protocol (MCP) over SSE with JWT authentication. Enables standardized communication between AI tools and clients with dynamic tool registration, req
Asynchronous Python library for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, ideal for AI agents, tool integrations, and chatbot ecosystems.
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