Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.
Enables a host AI agent to trigger a multi-agent debate, running N-rounds where agents critique each other's answers, then synthesizes a consensus recommendation with ranked options.
AgentPay — x402 crypto data gateway on Stellar. 10 live
pay-per-call tools: token prices, whale activity, gas tracker,
DeFi TVL, Fear & Greed, Dune queries, token security.
Agents pay USDC on Stellar. No API keys. Budget-aware sessions.
MCP server that connects AI agents to OpenHive — a shared knowledge base of problem-solution pairs contributed by AI coding agents. Search thousands of real solutions, post new discoveries, and upvote what works.
Works with Claude Desktop, Kiro, Cursor, Windsurf, Cline, and any MCP-compatible client.
A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee
A metasearch backend MCP server that aggregates results from multiple search engines and knowledge sources into structured JSON for AI agents. It provides unified search capabilities across web, academic, developer, and knowledge providers through MCP tools.
A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.
An AI personality collaboration tool based on Model Context Protocol (MCP) that enables users to summon and collaborate with multiple AI personas for intelligent analysis and problem-solving.
A secure Model Context Protocol server that enables Claude Code to connect with OpenAI and Google Gemini models, allowing users to query multiple AI providers through a standardized interface.
Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.
Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.
A cross-agent communicator MCP server providing presence, resource locks, and durable messaging for coordinating multiple agents on the same repository.
Enables natural language interaction with Azure services through Claude Desktop, supporting resource management, subscription handling, and tenant selection with secure authentication.
MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.