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⇱ MCP servers to enhance agent-based medical project performance | Glama

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MCP servers to enhance agent-based medical project performance

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  • Why this server?

    This server provides Text to Speech and audio processing, critical for the Patient Communication Agent.

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    Official ElevenLabs Model Context Protocol server that enables AI assistants like Claude to interact with Text to Speech and audio processing APIs, allowing them to generate speech, clone voices, transcribe audio, and create soundscapes.
    Last updated
    1
    MIT

  • Why this server?

    Medplum is tailored for healthcare data, enabling structured access to patient information for Patient Intake and other agents.

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    A Model Context Protocol server that enables natural language commands to manage healthcare data stored in Medplum FHIR servers through standardized Create, Read, Update, and Search operations.
    Last updated
    37
    18
    MIT

  • Why this server?

    Captures insights from AI sessions and transforms them into persistent, searchable knowledge, benefiting the Supervisor Agent's oversight.

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    An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.
    Last updated
    7
    8

  • Why this server?

    While geared towards Active Directory, the concept of analyzing relationships and attack paths is relevant to a supervisor agent analyzing potential risks.

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    BloodHound-MCP-AI is integration that connects BloodHound with AI through Model Context Protocol, allowing security professionals to analyze Active Directory attack paths using natural language instead of complex Cypher queries.
    Last updated
    361

  • Why this server?

    Provides a comprehensive set of tools (file systems, databases, web resources) for managing information relevant to all agents.

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    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
    Last updated
    81
    2
    MIT

  • Why this server?

    Offers enhanced web search capabilities, important for diagnosis and treatment agents to access up-to-date medical information.

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    An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.
    Last updated
    1
    50
    MIT

  • Why this server?

    Enables access to clipboard content, allowing agents to integrate local data.

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    Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data via OSAScript.
    Last updated
    8
    MIT

  • Why this server?

    Facilitates file system operations, helpful for any agent needing to manage local files or data stores.

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    Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
    Last updated
    3

  • Why this server?

    Enables querying and analyzing logs, which can help in debugging and monitoring the multi-agent system's behavior.

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    Enables LLMs to query and analyze logs from SEQ structured logging server with capabilities for searching events, retrieving event details, analyzing log patterns, and accessing saved searches.
    Last updated
    5
    MIT