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"Improving the Thinking Capabilities of My Gemini AI" matching MCP servers:

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    Read-only MCP server that proxies The Game Pensieve API over Streamable HTTP, letting AI assistants query a personal game collection via tools like search, filters, and summaries. Supports OAuth 2.1 enforcement and owner-scoped access.
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    Connect Gemini CLI to any ObjectStack deployment over the Model Context Protocol to discover objects, query and change records, and run business actions under your own permissions and row-level security.
    Apache 2.0
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    Enables secure chat-based interaction with PostgreSQL databases through Claude Desktop. Features GitHub OAuth authentication, role-based access control, and enterprise-grade security for database queries and operations.
    1
    MIT
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    Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.
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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
    1
    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
    20
    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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    Lets AI clients ask natural-language questions about a SQL database with production-safe guardrails, schema grounding, and read-only enforcement.
    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.