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"Using Goose AI for Productivity Features" matching MCP servers:

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    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
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    A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.
    GPL 3.0
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    Enables natural language task management including logging, updating, and summarizing productivity activities across multiple categories using a local SQLite database. It allows users to manage workflows and generate time-based summaries through standardized Model Context Protocol tools.
    1
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    Universal database copilot for diagnostics, operations, and performance analysis via MCP and CLI.
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    Enables AI agents to conversationally interact with genomics research networks for data analysis and discovery across multiple Omics AI Explorer platforms. It provides tools for exploring data collections, examining table schemas, and executing SQL queries against datasets like Viral AI and Neuroscience AI.
    6
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    MIT
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    MIT
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    Enables AI assistants to use Neo4j knowledge graphs and Qdrant vector databases for hybrid reasoning, combining structured facts with semantic search for advanced knowledge management, research analysis, and standardized coding workflows.
    30
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    MIT
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    A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.
    109
    MIT
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    A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
    MIT
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    Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.
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    Apache 2.0
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    An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.
    MIT
  • F
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    A FastMCP server backed by Postgres that demonstrates MCP tools, resources, and prompts, with a focus on session affinity and load balancing via HAProxy.
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    Enables AI agents to interact with heterogeneous databases (MySQL, MongoDB, BigQuery) through MCP tools, allowing natural language queries and database operations.