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  • Swarm Orchestrator

    Of-Arte
    A
    license
    -
    quality
    D
    maintenance
    An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.
    Last updated
    MIT

  • par5-mcp

    mathematic-inc
    A
    license
    A
    quality
    C
    maintenance
    Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.
    Last updated
    8
    20
    6
    Apache 2.0

  • DPS-Superskills-MCP

    Eilodon
    A
    license
    A
    quality
    B
    maintenance
    Exposes 31 high-assurance agentic coding skills as MCP tools and resources, enabling AI agents to invoke structured workflows across DISCIPLINE, TECHNIQUE, KNOWLEDGE LAYER, and REFERENCE registers.
    Last updated
    5
    Apache 2.0

  • Think Tool MCP Server

    PhillipRt
    A
    license
    A
    quality
    D
    maintenance
    Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.
    Last updated
    1
    55
    126
    MIT

  • M8 Codex MCP

    lipeng9401222
    A
    license
    A
    quality
    D
    maintenance
    An AI-powered toolkit for the M8 mobile development framework that enables automated generation of Vue pages, low-code components, and mock data. It provides real-time code standard validation and a comprehensive UI component knowledge base to streamline development in AI editors.
    Last updated
    4
    61
    MIT

  • Agent-hive

    kelvinyuefanli
    A
    license
    A
    quality
    C
    maintenance
    Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp
    Last updated
    10
    16
    MIT

  • Serena MCP Server

    lin2000wl
    A
    license
    B
    quality
    C
    maintenance
    A coding agent toolkit that transforms LLMs into coding assistants capable of working directly on your codebase with semantic code retrieval and editing tools, providing IDE-like capabilities without requiring API subscriptions.
    Last updated
    33
    1
    MIT

  • Vibechemy

    DiamondAlchemy
    A
    license
    -
    quality
    B
    maintenance
    An MCP server for orchestrating a fleet of CLI coding agents in isolated git worktrees. It exposes tools for spawning workers, sending instructions, reviewing diffs, and merging changes, with full terminal visibility.
    Last updated
    18
    2
    MIT

  • CodeGraph

    andysom25
    A
    license
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    quality
    B
    maintenance
    Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.
    Last updated
    MIT

  • MCP-Booster

    LLM-Booster
    A
    license
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    quality
    D
    maintenance
    Provides AI-powered development assistance with continuous chain-of-thought reasoning (CoConuT), automated task planning and execution, quality validation, and persistent memory of project context and decisions.
    Last updated
    31
    2
    MIT

  • MCP AI POC

    drewtech
    A
    license
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    quality
    D
    maintenance
    Provides AI-powered development tools including code generation, refactoring, debugging, performance optimization, and test generation, along with smart prompts for code analysis and documentation, and a built-in knowledge base of coding best practices.
    Last updated
    MIT

  • unlimited-mcp

    triumsebas
    A
    license
    -
    quality
    B
    maintenance
    An MCP server that delegates coding and sysops work to cheaper agents via durable background queues, with git worktree isolation, safety policies, and clarification rounds to avoid hitting limits of frontier models.
    Last updated
    2
    Apache 2.0