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Source channel @githubtrending · Post #15531 · Feb 28

#python#mcp#mcp_server#open_data#opendata Data.gouv.fr MCP Server lets AI chatbots like Claude or ChatGPT search, explore, and analyze over 74,000 French open datasets via simple questions, such as "Show latest Paris population data" or "Find real estate prices," without manual browsing. Connect easily to the free public endpoint https://mcp.data.gouv.fr/mcp—no API key needed. You benefit by getting instant, accurate access to public data like company info, metrics, and resources, saving time on research or apps and enabling quick insights from France's top-ranked open data platform. https://github.com/datagouv/datagouv-mcp

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@githubtrending · Post #14772 · 06/01/2025, 12:00 AM

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly