Decentralized AI & Web3 Networks
Protocols and networks for AI models, data, and computing resources built using blockchain and decentralized technologies.
Fetch.ai is a decentralized platform that enables users to build, deploy, and monetize autonomous AI agents for various applications and transactions.
Ritual is a platform offering curated products or services with a focus on simplicity and purpose.
AIxBlock is a unified platform for engineers to develop custom AI, automate workflows, and leverage decentralized computing resources.
The Graph is an indexing protocol that organizes blockchain data and provides accessible GraphQL queries.
A decentralized AI network enabling the creation, sharing, and monetization of AI services at scale.
Flux is a decentralized Web3 cloud infrastructure for building and deploying scalable, censorship-resistant applications.
Render Network is a decentralized GPU rendering platform that connects artists with computing resources for high-performance rendering tasks.
Oraichain integrates AI with blockchain technology to drive mass adoption of decentralized applications.
Context & Data Infrastructure
A platform that provides data storage, retrieval, and management services for AI models (especially RAG applications).
Modal is a serverless platform for AI and data teams to run CPU, GPU, and data-intensive compute at scale with custom code.
Helicone provides an AI gateway with full LLM observability, offering cost tracking, latency monitoring, and usage analytics for AI applications.
A unified LLM gateway providing authentication, load balancing, and spend tracking for 100+ large language models through OpenAI-compatible APIs.
Qdrant is an open-source vector database and search engine written in Rust, offering fast and scalable similarity search with a convenient API.
Portkey enables organizations to democratize and productionize generative AI across their entire infrastructure.
Martian is a universal web3 wallet that enables seamless management of digital assets and blockchain interactions across multiple platforms.
Chroma is an open-source vector database designed for building AI applications with embeddings.
Context is an AI Office Suite that automates workflow by generating documents, presentations, and spreadsheets based on user data and preferences.
A high-performance inference platform enabling scalable deployment of any model with optimized inference and streamlined operations.
MCP Official & Community Resources
The core of the MCP project, official documentation, and a list of resources and directories maintained by the community.
Official documentation and getting started guide for the Model Context Protocol (MCP).
A curated list of over 50 Model Context Protocol (MCP) servers that enable standardized integration of AI tools.
Smithery is a platform that extends AI agent capabilities through specialized tools and integrations.
A daily-updated directory of Model Context Protocol (MCP) servers for connecting AI applications to external data sources and services.
A directory for discovering Model Context Protocol (MCP) servers to enable seamless AI integration across various platforms and use cases.
A comprehensive collection of MCP servers for enhancing AI capabilities through Claude integration and discovery tools.
MCP Implementations & Servers
Specific MCP server implementations are provided by the official, community, or commercial companies to integrate various data sources and tools.
Model Context Protocol (MCP) standardizes communication between AI applications and external services like tools, databases, and templates.
A framework for integrating Pydantic models with large language models (LLMs) to enhance agent capabilities.
Learn how to integrate Model Context Protocol (MCP) servers into Azure AI Foundry Agent Service.
Visual Studio now generally supports Model Context Protocol (MCP), enabling richer real-time context integration and enhanced Agent Mode capabilities.
Extend Warp's agents with custom tools and data sources via MCP servers, which are modular plugins using a standardized interface.
MCP (Model Context Protocol) is a protocol that solves AI integration challenges by streamlining model communication and enabling efficient MCP servers for intelligent systems.
Cloudflare provides an overview of the Model Context Protocol (MCP), explaining its function in AI model communication and data access.
Kong Inc. decodes Anthropic's Model Context Protocol (MCP), explaining its significance for agentic LLM workflows and how the Kong gateway enables enterprise-ready implementation.
Very Good Security introduces VGS Collect MCP UI, pioneering the future of agentic commerce through AI-powered shopping solutions.