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    A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.
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    4
    MIT
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    Connect AI assistants to Manticore Search. Execute SQL queries, list tables, get schemas, and fetch documentation. Perfect for building RAG applications and search-powered AI agents.
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    Apache 2.0
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    MCP server for Durable energy trading analytics that connects Claude Desktop to Snowflake data, enabling natural-language queries about spreads, constraints, generators, and prices.
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    A Model Context Protocol server for Elasticsearch, enabling search, index inspection, and cluster information tools with optional write tools.
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    ISC
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
    Last updated
    4
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    MIT
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    Enables natural-language AI agents to query and manage Couchbase databases via the Model Context Protocol, allowing users to ask plain-English questions about travel data and get SQL++-backed answers.
    Last updated
    5
    MIT
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    Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.
    Last updated
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    An MCP server for interacting with SQL Server databases that enables schema inspection, record counting, and paginated data retrieval. It provides tools to explore table structures and fetch specific records while enforcing safety limits on data volume.
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    Enables interaction with the CEDAR (Center for Expanded Data Annotation and Retrieval) metadata repository to fetch templates and retrieve template instances. Supports querying structured metadata and biomedical data annotations through the CEDAR platform.
    Last updated
    2
    MIT
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    Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
    Last updated
    8