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Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Provides real-time hot trending topics from major Chinese social platforms and news sites via the Model Context Protocol.
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Aggregates and serves multiple Model Context Protocol (MCP) resource servers through a single interface.
Enables interaction with LinkedIn's Feeds and Job API through a Model Context Protocol (MCP) server.
Enables access to blockchain interactions, swaps, staking, and crypto trading strategies for AI agents.
Integrates Google Maps API functionalities with LLM processing capabilities through a Model Context Protocol server.
Enables LLM agents to interact with Git repositories through a Model Context Protocol (MCP) server.
Integrates Stata with VS Code and Cursor IDE, enabling command execution, real-time output, and AI assistant integration.
Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).
Provides Model Context Protocol (MCP) servers for integrating AI assistants with various applications.
Manages, proxies, and secures Model Context Protocol (MCP) servers to control LLM activity.
Manages personal knowledge, daily notes, and reusable prompts through GitHub Gists, accessible via MCP-enabled AI products.
Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.
Enables Java and Spring applications to interact with AI models and tools through the Model Context Protocol.
Exposes a UniFi Network Controller as a set of programmable tools accessible via the Model Context Protocol (MCP).
Facilitates the development and configuration of AI applications that integrate with Tableau Cloud and Server.
Enables AI assistants and LLM applications to securely execute code snippets within isolated containerized environments.
Automates Unity project development by enabling AI to autonomously compile, test, debug, and manipulate projects through integration with AI coding assistants.
Provides an open-source, self-hosted AI workspace for developing and deploying intelligent, UI-rich AI agents that integrate with internal systems.
Integrate Universal Tool Calling Protocol (UTCP) capabilities directly into the Model Context Protocol (MCP) ecosystem through a versatile, all-in-one server.
Provides an MCP server to search and analyze Facebook's public ads library for competitive intelligence and marketing insights.
Orchestrates experimental, small-scale engineering agents with multi-provider LLM support for comparative evaluation.
Executes Python code in a secure, sandboxed environment using an MCP server.
Enables local semantic code search, making entire codebases the context for coding agents like Claude Code, with zero API costs and enhanced privacy.
Democratize access to petabytes of satellite data by transforming AI assistants into geospatial intelligence powerhouses.
Facilitates true deliberative consensus among AI models by enabling multi-round debates to refine positions and reach informed decisions.
Empowers AI agents like Claude to autonomously trade, analyze, and manage positions on Polymarket prediction markets with an extensive toolset.
Enables AI assistants to perform intelligent semantic code searches within a codebase using local AI models.
Emulate PC Engine, TurboGrafx-16, SuperGrafx, and PCE CD-ROM² systems with a high-accuracy emulator, debugger, and embedded MCP server.
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