Decentralized AI & Web3 Networks
Protocols and networks for AI models, data, and computing resources built using blockchain and decentralized technologies.
Ocean Protocol is a decentralized platform for tokenizing and exchanging AI data and services.
The Graph is an indexing protocol that organizes blockchain data and provides accessible GraphQL queries.
Livepeer is a decentralized network providing scalable video computing infrastructure for AI processing and transcoding.
Bittensor is a decentralized network that enables collaborative machine learning through a peer-to-peer marketplace for AI intelligence.
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.
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.
Martian is a universal web3 wallet that enables seamless management of digital assets and blockchain interactions across multiple platforms.
Vectara provides an enterprise-grade platform for building AI agents and assistants with Retrieval-Augmented Generation (RAG) technology.
Context is an AI Office Suite that automates workflow by generating documents, presentations, and spreadsheets based on user data and preferences.
Portkey enables organizations to democratize and productionize generative AI across their entire infrastructure.
Helicone provides an AI gateway with full LLM observability, offering cost tracking, latency monitoring, and usage analytics for AI applications.
Pinecone is a vector database enabling millisecond similarity search across billions of items via API for AI applications.
A unified LLM gateway providing authentication, load balancing, and spend tracking for 100+ large language models through OpenAI-compatible APIs.
Graphsignal provides inference observability for AI applications, offering monitoring, tracing, and optimization of model performance in production.
MCP Official & Community Resources
The core of the MCP project, official documentation, and a list of resources and directories maintained by the community.
A curated list of over 50 Model Context Protocol (MCP) servers that enable standardized integration of AI tools.
A comprehensive collection of MCP servers for enhancing AI capabilities through Claude integration and discovery tools.
A daily-updated directory of Model Context Protocol (MCP) servers for connecting AI applications to external data sources and services.
Official documentation and getting started guide for the Model Context Protocol (MCP).
A directory for discovering Model Context Protocol (MCP) servers to enable seamless AI integration across various platforms and use cases.
Smithery is a platform that extends AI agent capabilities through specialized tools and integrations.
MCP Implementations & Servers
Specific MCP server implementations are provided by the official, community, or commercial companies to integrate various data sources and tools.
Cursor's Model Context Protocol (MCP) enables integration of external tools and data sources.
Extend Warp's agents with custom tools and data sources via MCP servers, which are modular plugins using a standardized interface.
FlowGPT offers free AI character roleplay with over 1 million characters and bots, including AI companions and uncensored chat tools.
WriterGate provides streamlined content management solutions for efficient digital content creation and organization.
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.
A guide on the proper implementation and usage of the Model Context Protocol for effective data integration.
MCP (Model Context Protocol) is a protocol that solves AI integration challenges by streamlining model communication and enabling efficient MCP servers for intelligent systems.
Visual Studio now generally supports Model Context Protocol (MCP), enabling richer real-time context integration and enhanced Agent Mode capabilities.
