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Connects AI assistants to the Paradex perpetual futures trading platform using the Model Context Protocol (MCP).
Enables LLMs and AI assistants to access real-time Dota 2 statistics, match data, and player information through a standard interface.
Manages qualitative research context across sessions using a knowledge graph.
Enables access to Hanzo AI and platform capabilities through the Model Context Protocol (MCP).
Enables AI assistants to directly query and analyze MongoDB databases through standardized Model Context Protocol (MCP) tools and resources.
Connects AI models to the Pollinations.ai service using the Model Context Protocol to generate images and text.
Demonstrates how to set up a Model Context Protocol (MCP) server and client using Server-Sent Events (SSE) for LLM prompting.
Empowers AI agents by providing access to indexed blockchain data from The Graph.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Enables AI agents and scientific tools to interact with PubChem's vast chemical information database via the Model Context Protocol.
Integrate Sunra.ai's AI model deployment and running capabilities into applications across multiple programming languages.
Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.
Generates AI images using the Doubao Seedream 4.0 model, seamlessly integrating with Claude Code via Model Context Protocol.
Integrates the HeadHunter API with AI assistants and Model Context Protocol clients to enable comprehensive job search, resume management, and application submission.
Integrates browser search history with large language model chat applications for personalized interactions.
Provides high-performance web search and page fetching capabilities for AI assistants using DuckDuckGo.
Provides AI agents with deterministic calendar capabilities including atomic booking, conflict prevention, and precise temporal reasoning.
Performs cursor-style semantic code search as a Claude Code plugin, significantly reducing token usage for codebase queries.
Provides a persistent, local-first memory engine for AI agents, featuring a 4-tier memory model, people graph, and Bayesian beliefs.
Provides a comprehensive, plugin-oriented developer workspace for AI coding assistants, enabling professional-grade engineering workflows with specialized agents and skills.
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