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"Managing and Working with Files" matching MCP servers:

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    A Model Context Protocol (MCP) implementation for connecting to and working with various database systems.
    15
    21
    MIT
  • A
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    MCP server for managing swipe files (sample/reference data) with tools to add, search, and update entries via Claude.
    0
    MIT
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    An MCP server that allows working with MySQL databases by providing tools for executing read-only SQL queries, getting table schemas, and listing database tables.
    871
    3
    MIT
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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
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    A local-first MCP server that captures working memories and returns compact capsules classified by trust, with consolidation to Datacron markdown notes.
    Apache 2.0
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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
    MIT
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    Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.
    7
    MIT
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    Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.
    MIT
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    An MCP server for working with encrypted SQLite databases (SQLCipher), enabling database exploration, SQL queries, and CRUD operations through natural language.
    Apache 2.0
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    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
  • F
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    Enables natural-language sales queries against a SQLite database, generating and executing read-only SQL through a secure MCP server with table listing, schema description, and query execution.
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    Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.
    8
    1
    MIT