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  • A
    license
    Not graded
    quality
    D
    maintenance
    A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables persistent remote VPS collaboration with MCP tools, live dashboard, and autonomous AI agent for code execution, memory, and task automation.
    9
    3
    GPL 3.0
  • A
    license
    Not graded
    quality
    F
    maintenance
    The ultimate Gemini API interface for MCP hosts, intelligently selecting models for the task at hand—delivering optimal performance, minimal token cost, and seamless integration.
    30
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A language-neutral runtime for the SEP-2663 task lifecycle and io.sdar/taskExecution Provider Profile, delegating resource facts and side effects to versioned gRPC/Protobuf adapters. Implemented in strict TypeScript, it provides durable scheduling, recovery, and a full test suite for conformance.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables advanced OpenAI GPT model integration with Claude through 5 specialized tools including GPT-5 reasoning, token optimization, context management, batch processing, and model comparison. Features intelligent fallback mechanisms and task-specific system prompts for enhanced AI capabilities.
    2,008
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A cross-platform desktop MCP server that allows Codex and other MCP clients to execute tasks via the Claude Agent SDK, providing tools for code generation, file editing, and task management with session continuation.
    14
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server that enables verified code execution with LLM reasoning using Recursive Language Models (RLM). It supports tasks like code generation, data analysis, and complex task decomposition.
    2
    MIT