Model Context Protocol servers that extend AI capabilities
Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities.
Facilitates interaction with Airtop's browser automation service through a Model Context Protocol server.
Facilitates secure and structured AI-driven exploration and analysis of IoTDB databases through a controlled MCP interface.
...moreFacilitates AI-driven control of Android devices through ADB commands, enabling functionalities like device listing and screen tapping.
...moreFacilitates Android device management through ADB commands, enhanced with visual model integration for screen content description.
...moreFacilitates remote control of Android devices via ADB using the MCP protocol, enabling device management, screen operations, input actions, app management, and more.
...moreFacilitates interaction with Altium Designer for PCB design manipulation and querying through a Python-based MCP server.
A TypeScript-based MCP server implementing a simple notes system with resources, tools, and prompts for note management and summarization.
...moreManage and control NodeMCU IoT devices with real-time communication and AI integration using the Model Context Protocol.
Facilitates interaction between LLMs and Elektron synthesizers via MIDI for real-time sound control and design.
Facilitates LLM-driven analysis of healthcare data in OMOP format through modular MCP servers and A2A protocol integration.
...moreFacilitates seamless integration with openEHR REST APIs, enabling the creation and management of electronic health records and compositions.
...moreConnects to the Health Planet API to securely retrieve and analyze weight data using any MCP-compatible client.
A suite of MCP servers enabling AI assistants to access and interact with various biomedical databases and resources for research purposes.
...moreFacilitates real-time data analysis and display for the Gaggiuino espresso machine controller, enabling AI clients to access shot telemetry and machine status.
...moreBioContext provides seamless integration with major biological databases through a collection of MCP servers, facilitating AI-driven data access and analysis.
...moreFacilitates interaction with Oura Ring data through an MCP server, offering endpoints for personal health metrics.
Facilitates translation tasks by integrating with TranslationX through a Python-based MCP server.
Facilitates AI-driven management of laboratory workflows by simulating instrument data processing and integrating with MCP tools.
...moreEnhance home education with a remote MCP server that integrates AI for creative learning experiences.
Facilitates bioinformatics tasks by integrating with Claude Desktop through a Docker-based MCP server.
Facilitates AI-driven searches and access to ClinicalTrials.gov data, enhancing health sciences research through a streamlined MCP interface.
...moreFacilitates interaction with DICOM images through a note storage system, enabling note summarization and management.
Facilitates secure AI access to Electronic Health Records using SMART on FHIR, enabling comprehensive data retrieval and analysis through MCP tools.
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