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    MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.
    13 npm
    MIT
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    A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.
    1
    103 npm
    33
    MIT
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    Transforms AI assistants into research-grade cognitive workspaces with systematic reasoning, evidence-based analysis, persistent memory management, and intelligent knowledge discovery.
    MIT
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    Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.
    155 npm
    31
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    Structures debugging processes into a persistent knowledge graph, enabling problem decomposition, hypothesis testing, and reusable solution discovery.
    1
    7 npm
    4
    MIT
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    93 PyPI
    MIT
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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
    3
    13 npm
    67
    Apache 2.0
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    Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.
    9 npm
    MIT
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    Enables autonomous multi-step web navigation and interaction through condensed ARIA snapshots, fast local reflex decisions, and selective LLM escalation. Exposes browser automation capabilities such as browsing, snapshot extraction, and atomic smart actions over the Model Context Protocol.
    MIT
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    Official AnyAPI agent skills — hundreds of scraping & data APIs through one gateway: one key, USD pay-per-request, normalized schemas, automatic failover.
    1
    Apache 2.0
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    Forces host coding agents through a structured multi-step reasoning protocol, scaffolding, validating, and formatting their thinking in QUICK, STANDARD, or DEEP modes, plus independent refutation and self-consistency verification passes. It runs entirely locally over stdio or Streamable HTTP using bash with no LLM, API key, GPU, or inference cost.
    MIT