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"Exploring RAG through defined workspaces" matching MCP servers:

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    GraphRAG MCP server for querying SNOM CT medical terminology via Neo4j, offering graph_search_concept and graph_get_related tools to search and traverse concepts and relationships.
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    Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.
    4
    MIT
  • A
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    quality
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    MCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.
    13
    MIT
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    Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.
    3
    16
    9
    MIT
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    Provides read/write access to any FHIR-compliant healthcare API with built-in validation, supporting resource management, search operations, and granular permissions through natural language.
    5
    1
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    Enables AI agents to manage veterinary practice data through ezyVet API, including animals, contacts, appointments, consults, invoices, and products.
    8
    MIT
  • A
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    Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.
    10
    MIT
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    quality
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    Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.
    7
    Apache 2.0
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    Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.
    MIT
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    Enables AI agents to query the PomBase fission yeast model-organism database for genetic and molecular data through the Pipeworx MCP gateway.
    4
    MIT
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    Provides a natural language interface for scRNA-Seq analysis using the Scanpy library, supporting operations such as data preprocessing, clustering, and visualization. It enables AI agents and clients to perform complex single-cell transcriptomics workflows through the Model Context Protocol.
    2
    BSD 3-Clause
  • A
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    quality
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    Enables querying bioRxiv and medRxiv preprints, including metadata, publication status, and submission counts, through natural language or direct tool calls.
    10
    MIT