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    A smart news search server that automatically switches between multiple news APIs when one reaches its limit, enabling reliable searching across 20+ languages without worrying about API quotas.
    1
    5
    Apache 2.0
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    Enables coding agents and developers to detect SemVer 2.0 breaking changes by statically diffing Python AST public API surfaces, catching removed exports, parameter reordering, and other incompatible signature shifts. It returns deterministic refactoring plans and dependency graph metrics without any external pip dependencies.
    7
    -
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    Enables autonomous coding agents to audit source-code changes for SemVer 2.0 breaking changes by inspecting AST public API surface diffs, parameter reordering, and removed exports. Produces deterministic refactoring plans and dependency metrics using only the Python standard library.
    7
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    MCP server enabling AI agents to interact with Hacker News, including fetching full comment trees with depth control, searching stories and comments, and retrieving user profiles.
    6
    5
    MIT
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    Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.
    4
    72 npm
    7
    MIT
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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
    34
    3
    MIT
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    Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.
    MIT
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    Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.
    MIT
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    Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.
    MIT
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    Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.
    MIT
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    Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.
    MIT
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    maintenance
    Enables LLMs and MCP clients to discover and use generated CRUD services through MCP tools and resources, exposing actions like create, update, delete, and read-only list/get access alongside REST endpoints.
    MIT
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    Enables LLMs and AI assistants to discover and use tools and resources for CRUD operations on generated services, providing direct interaction with the same data exposed by REST endpoints.
    MIT
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    Enables LLMs to discover and invoke CRUD tools and read-only resources for generated services, allowing direct interaction with the same data exposed by the REST API.
    MIT
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    Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.
    MIT