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Advantages of Using Sulfate-Reducing Bacteria for Heavy Metal Remediation in Groundwater

  • Why this server?

    This server provides RAG capabilities, which could be used to retrieve documentation or research papers related to sulfate-reducing bacteria and heavy metal remediation.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
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    TypeScript
    Apache 2.0
  • Why this server?

    This server offers vector database capabilities that can be used to store and search documents related to bioremediation and sulfate-reducing bacteria.

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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
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    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server enables data retrieval using vector search, full text search, and metadata filtering, making it useful for locating relevant information on the topic.

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    A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
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    Python
    Apache 2.0
  • Why this server?

    This server provides access to biomedical literature annotation and relationship mining, which is relevant to finding studies on bacteria and heavy metal remediation.

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    🔍 A biomedical literature annotation and relationship mining server based on PubTator3, providing convenient access through the MCP interface.
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server allows searching and accessing PubMed articles, which is a key resource for biomedical research related to bacteria and remediation.

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    🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
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    • Apple
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  • Why this server?

    This server gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation, which is useful to the user.

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    MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation.
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    Python
    MIT License
    • Apple
  • Why this server?

    This server provides read-only access to Hugging Face Hub APIs, which might include models or datasets relevant to bioremediation or bacteria.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
    4
    Python
    MIT License
    • Apple
  • Why this server?

    This server enables Retrieval-Augmented Generation, which means it can query a FAISS vector database, potentially containing information related to the search query.

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    A Machine Conversation Protocol server that enables AI agents to perform Retrieval-Augmented Generation by querying a FAISS vector database containing Sui Move language documents.
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    • Apple
    • Linux
  • Why this server?

    This server helps users conduct comprehensive research on complex topics by exploring questions in depth and finding relevant sources, which is exactly what the user is trying to do.

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    A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
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    Python
    MIT License
    • Apple
  • Why this server?

    This server is capable of interpreting golang code which might be necessary for development of new tools to analyze data about sulfate-reducing bacteria.

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    You are capable of interpreting golang code and judge it under the most strict ddd and clean architecture paragidms
    51
    Go
    GPL 3.0
    • Linux
    • Apple