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Developing a Framework for Creating Autonomous Agent Solutions for Startup Studios

  • Why this server?

    Provides hierarchical task management capabilities to LLMs, which is relevant for structuring an autonomous agent agency.

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    ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.
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    TypeScript
    Apache 2.0
    • Linux
    • Apple
  • Why this server?

    Enables multi-agent conversations through a standardized interface, useful for creating interactions between autonomous agents.

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    An MCP server that provides integration with Microsoft's AutoGen framework, enabling multi-agent conversations through a standardized interface.
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    Python
    MIT License
  • Why this server?

    Focuses on building powerful and secure AI agents.

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    Build powerful and secure AI agents powered by Starknet.
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    TypeScript
    MIT License
  • Why this server?

    Aids in managing calendars, tasks, emails, and smart home devices, simulating the functions an agency might need.

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    A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
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    Python
    • Apple
    • Linux
  • Why this server?

    Allows users to define custom tools and services to streamline workflows and processes, enabling customization for the agency.

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    MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.
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    TypeScript
    MIT License
  • Why this server?

    Offers resources, tools, and prompt management for efficient LLM interactions, supporting the agency's operational needs.

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    FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.
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    Python
    MIT License
  • Why this server?

    Allows delegating complex research tasks to specialized AI agents, useful for creating a distributed intelligence system within the agency.

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    A Model Context Protocol server that enables conversational LLMs to delegate complex research tasks to specialized AI agents powered by various OpenRouter models, coordinated by a Claude orchestrator.
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    JavaScript
    • Apple
  • Why this server?

    Enhances semantic search and chat capabilities, crucial for accessing relevant information and knowledge within the agency.

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    Connect your MCP-compatible clients to Onyx AI knowledge bases for enhanced semantic search and chat capabilities. Retrieve relevant context from your documents seamlessly, enabling powerful interactions and comprehensive answers. Streamline knowledge management and improve access to information acr
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Enables AI agents to execute JavaScript code with persistent context, valuable for handling dynamic web-based tasks.

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    A server that enables AI assistants to execute JavaScript code with persistent context through stateful REPL sessions, file operations, and package management features.
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    • Linux
    • Apple
  • Why this server?

    Provides persistent memory capabilities for Claude, enabling agents to retain and utilize information across multiple sessions.

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    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
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    JavaScript
    MIT License