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Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Enables AI models to access and interact with real-time IoT data from the Acceleronix platform, enhancing AI applications with contextual device information.
Enables AST-powered semantic code editing for language models by weaving code transformations at precise syntactic splice points, featuring automatic binary bundling of ast-grep.
Provides global weather information through natural language interaction by integrating the OpenWeather API and large language models.
Provides a Model Context Protocol server interface to access the Open Movie Database API for movie search and information retrieval.
Integrates AI assistants with RGB Lightning Node APIs through a Model Context Protocol (MCP) server.
Enables AI assistants to semantically search for quotes, verify attributions, and provide transparent source citations.
Automates financial service tasks by combining human workers and AI into seamless, guided workflows.
Provides an MCP server offering 44 tools across 8 protocol layers for cryptographic identity, delegation, governance, and commerce capabilities for AI agents.
Provides a unified safety layer for AI agents, integrating cost management, prompt injection scanning, and decision tracing capabilities through an MCP server.
Provides AI agents with native access to academic papers, accurate BibTeX generation, and citation formatting through Google Scholar.
Empowers AI assistants to deeply synthesize information, search, and answer complex questions across a user's entire PDF library.
Enables natural language interaction with EPFL ENAC IT4R systems via a Model Context Protocol server.
Provides real-time pricing and performance data for large language models, allowing users to accurately estimate costs.
Integrate Yandex Search, Wordstat, Webmaster, and Metrika APIs into AI assistants for comprehensive market analysis and data retrieval.
Access and manage academic literature from multiple sources, offering comprehensive search, citation, and full-text retrieval capabilities.
Orchestrates image generation across multiple providers like OpenAI and Stable Diffusion, serving results to various MCP clients.
Bridges LynxPrompt instances to an MCP server, empowering AI agents to manage configuration blueprints.
Provides an SQL layer for querying REST API endpoints, enabling declarative data retrieval.
Provides persistent, zero-LLM, local-first memory with proactive recall for AI coding agents.
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