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114,426 tools. Last updated 2026-04-21 11:36
  • Audit Agent-to-Agent communications to detect delegation loops, privilege escalation, and data leakage in multi-agent systems using protocols like A2A, CrewAI, LangGraph, and AutoGen.
    Apache 2.0
  • Retrieve a project's concept map to locate files implementing specific features and flows, enabling direct navigation instead of manual exploration.
    MIT
  • Get a beginner-friendly explanation of any MCP concept to better understand tools, resources, prompts, servers, clients, and frameworks. Ideal for developers new to Model Context Protocol.
    Apache 2.0
  • Search for proof-of-concept exploits across GitHub, Exploit-DB, and Nuclei templates to verify exploit availability for specific CVEs.
    MIT

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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
    Last updated
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    MIT
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  • Search the global concept store in Kratos-MCP to retrieve relevant code snippets, comments, or runtime traces using query keywords, result limits, and optional concept filters.
    MIT
  • Analyze vault structure to identify folder layouts, note counts, and navigation content for exploring personal knowledge bases.
  • Generate a step-by-step consultation plan for multi-agent systems by assessing project complexity and providing structured recommendations with architecture diagrams.
    AGPL 3.0
  • Visualize codebase domain concepts and directory structure to understand semantic layout before exploring specific elements.
    MIT
  • Transition an invoice from concept to open status by assigning an invoice number, preparing it for sending to recipients.
    MIT
  • Find key functions, classes, and files to understand a concept in codebases, reducing search time by surfacing important locations first.
    MIT
  • Trace how a concept flows through code by mapping function call chains that produce and consume it, showing propagation paths with file locations.
    MIT
  • Generate a visual map of system connections in EVE Online by analyzing stargate data for specified solar systems. Input up to 50 system IDs to create a detailed navigation overview.
    TypeScript
    MIT
  • Retrieve detailed lists of solar systems within specified EVE Online regions, including security status and constellation data, for strategic navigation and analysis.
    TypeScript
    MIT
  • Calculate a weighted sum of multi-band raster data using specified weights to produce a single-band output for geospatial analysis.
    MIT
  • Browse and filter stored memories with pagination for auditing, exploring, or debugging memory contents in the Recall system.
  • Send prompts to Comet/Perplexity for real browser interactions like login walls, dynamic content, form filling, or deep research with agentic browsing capabilities.
    MIT
  • Query ConceptNet's knowledge graph with multi-parameter filtering to discover relationships between concepts, analyze specific connection types, and explore semantic networks.
  • Monitor agent status and track progress for autonomous web browsing tasks. Call repeatedly to follow agentic research activities.
    MIT
  • Retrieve new job IDs from a specified LinkedIn URL by exploring a defined number of pages. Extracts and returns a list of job IDs for further analysis or tracking.
    MIT
  • Generate complete RPG Maker MZ games from concept descriptions by automatically handling project setup, story generation, battle systems, quests, assets, and optimization for rapid prototyping.
    MIT
  • Preview concept activation by analyzing content against neural memory graphs without saving results. Identify which associative concepts would trigger based on configured thresholds.
    MIT
  • Plan the shortest or safest route between EVE Online solar systems. Input system names or IDs, specify route preferences, and avoid specific systems for optimized navigation.
    TypeScript
    MIT
  • Retrieve concept nodes from the Hebbian learning memory system, with optional filtering by category to organize associative knowledge.
    MIT
  • Retrieve the Self-Dialectical AI Systems methodology with HUMMBL Base120 mappings to access validated mental models for problem-solving and decision-making.
    Apache 2.0
  • Retrieve operating systems filtered by family type such as Ubuntu, CentOS, Windows, or application-specific options within Vultr cloud infrastructure.
    MIT
  • Retrieve multi-day weather forecasts for any city to plan activities and travel. Specify city name and number of days (1-5) for accurate predictions.
  • Retrieve the status of the Kibana server, including multi-space support, by specifying the target space or using the default configuration.
    Apache 2.0
  • Retrieve multi-agent workflow templates for complex tasks requiring collaborative reasoning and multi-perspective analysis.
    MIT
  • Find Vultr cloud operating systems by name using partial matching to identify available OS options for deployment.
    MIT
  • Retrieve paginated lists of monitored systems in Beszel with filtering and sorting options to manage infrastructure visibility.
    MIT
  • Retrieve available operating systems for Vultr cloud infrastructure deployment. Use this tool to view OS options when creating instances or configuring services.
    MIT
  • Retrieve available Windows operating systems from Vultr cloud infrastructure to select compatible options for server deployment.
    MIT
  • Execute systems models to simulate complex scenarios and generate structured JSON output for analysis and decision-making.
    MIT
  • Retrieve connected identity repositories that SailPoint integrates with, enabling management of identity sources and access control systems.
  • Link global concepts to your project using Kratos-MCP by associating a concept ID with local tags. Enable AI coding tools to maintain traceable, searchable memory of code snippets and comments.
    MIT