Browse and discover Model Context Protocol compatible servers
Detect near-duplicate Python code using AST analysis to find structural clones despite renaming, supporting efficient AI-assisted refactoring workflows.
AI-native fork maintenance. Keep your patches, stay in sync with upstream.
Transparent stdio multiplexer for MCP servers — share one upstream across multiple Claude Code sessions
MCP server to manage and query Connhex data
Universal MCP Server Manager - Manage Qwen Code, Claude, Codex, Gemini, OpenCode, OpenClaw, Trae, Qoder & CodeBuddy from one place.
Generic MCP server for Markdown-based AI Brain context systems
Get descriptions of images using OpenAI's GPT-4 Vision models, Azure OpenAI, and Anthropic Claude in an easy way.
🐙 High-availability Tavily MCP load balancer with multi-key polling and native SSE, automatically rotating API keys to boost request limits for Tavily MCP servers.
Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.
Mokei is a TypeScript toolkit designed for building, managing, and observing clients and servers that utilize the Model Context Protocol (MCP) for seamless communication and interaction. Mokei is a TypeScript
Streamline multi-vendor network management using natural language commands with AI-driven automation on the Model Context Protocol platform.
Connect Kimi Code’s large-context reading with Claude Code’s reasoning for efficient, cost-effective codebase analysis and edits.
📊 Integrate Datadog Logs, Monitors, Metrics, Incidents, and Dashboards with this Model Context Protocol (MCP) server for seamless AI assistance.
Switchboard --> MCP server that transparently routes AI coding agent requests across multiple models and providers. Never hit a rate limit dead end again.
This repository provides an MCP-compatible server for accessing the Holaspirit API, enabling AI assistants to interact with Holaspirit data through a standardized interface. It offers tools for managing tasks, metrics,