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    An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.
    4
    10
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  • A
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    Streamlines development workflows through AI-assisted codebase analysis, comprehensive planning, task breakdown with dependencies, and automated implementation verification. Enables systematic approach to complex development tasks like framework migrations and feature implementation.
    5
    9
    MIT
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    Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.
    28
    MIT
  • A
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    MCP server wrapping OpenAI Codex SDK to run Codex agents for code generation, debugging, and more, authenticating via ChatGPT OAuth.
    44
    MIT
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    Enables Claude Code to delegate tasks to Google Antigravity (Gemini) as an autonomous subagent, including codebase exploration, architecture analysis, multi-file code generation, and technical Q&A, without requiring external API keys.
    MIT
  • A
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    maintenance
    Transforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.
    3
    MIT
  • A
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    maintenance
    This MCP server enables automated maintenance and code analysis for Python/pytest repositories in isolated Docker environments. It supports read-only investigations, fix-and-verify tasks, and provides full audit trails with SQLite event history and artifact exports.
    MIT
  • F
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    Enables a portable Windows coding agent to perform file editing, process management, package operations, testing, and Git workflows within configured project boundaries. Also provides managed background process sessions and Git linked worktree management.
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  • F
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    maintenance
    Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.
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