huuh - AI for teams and communities

创建者

huuh.me by infolab-aia year ago

Make AI work for teams, communities and collaborative environments everywhere 🤖💝

内容

🚀 Huuh MCP Server - Collaborative AI for everybody! 🎓

The Huuh MCP Server is your friendly neighborhood Model Context Protocol server that bridges the gap between AI applications and the huuh.me platform 🤖💝

With huuh.me you can:

📚 AI-native knowledge
- create knowledge bases
- retrieve and contribute content directly in chat
🫂 shared AI for your team
- share and collaborate on knowledge bases with others
- let them retrieve and contribute
🎭 better results with flexible usage
- Build and share AI personas (system prompts)
- switch from your Research AI to your Marketing AI with in chat

✨ What Does This Server Do?

Our server is like a Swiss Army knife for collaboration in the era of AI! 🔧📚 You can:

🔍 Explore Bases: Search through marketplace public knowledge bases
📖 Access Information: Retrieve specific information from one of your bases or any public base
🎭 Manage Personas: Get and update AI personas to quickly apply system prompts in the chat
📝 Contribute Content: Add your own contributions to bases and help build the knowledge base
🛠️ Contribute Personas: Contribute personas you find useful to a public base
🏗️ Create Bases: Start new knowledge bases for your projects
🔗 Assign Bases to Spaces: Share bases with your team or workspace
🌟 Create Spaces: Set up collaborative spaces for team work

To use the server, please register on the huuh.me platform and get your API key. This server is designed to work with the huuh API, so you'll need an account to get started! 🌐

🛠️ Available Tools - Your AI Toolbox!

Our server comes packed with 10 incredible tools that make working with educational content a breeze:

1. 🏠 `get_user_options`

What it does: Gets information about your available bases, modules, and files
Perfect for: Starting your journey and understanding what's available to you!

2. 🛒 `search_marketplace`

What it does: Search for bases in the marketplace
Parameters:

query (string) - Your search terms (max 150 characters)
Perfect for: Discovering new bases and educational opportunities!

3. 🔍 `retrieve_information`

What it does: Retrieve specific information from base content
Parameters:

query (string) - What you're looking for (max 150 characters)
base_id (string) - Which base to search in
relevant_modules (array, optional) - Specific modules to focus on
relevant_groups (array, optional) - Specific groups to include
relevant_file_ids (array, optional) - Specific files to search
Perfect for: Getting precise answers from base materials!

4. 📝 `contribute`

What it does: Add your own content contributions to bases
Parameters:

base_id (string) - Course to contribute to
folder_number (string) - Which folder to add content to
contribution_title (string) - Title of your contribution
contribution_content (string) - Your amazing content (max 30,000 characters)
Perfect for: Sharing knowledge and helping others learn!

5. 🎭 `get_persona`

What it does: Retrieve information about AI personas
Parameters:

title (string) - Name of the persona you want
Perfect for: Applying your stored system prompts in your chat!

6. 🔄 `refresh_persona`

What it does: Update persona content and behavior
Parameters:

title (string) - Persona to update
new_content (string) - Updated persona content
base_id (string, optional) - Course-specific persona updates
Perfect for: Iteratively improving system prompts for future use!

7. 🎁 `contribute_persona_to_course`

What it does: Add a brand new persona to a course (yours or public) Parameters:

course_id (string) - Course to add persona to
persona_title (string) - Name of your new persona
persona_content (string) - Persona description and behavior (max 150 characters)
Perfect for: Storing system prompts to reapply them in the future!

8. 🏗️ `create_base`

What it does: Create a new knowledge base for your content Parameters:

base_name (string) - Name of your new base
base_description (string) - Description of what the base is about
Perfect for: Starting fresh knowledge bases for new topics or projects!

9. 🔗 `assign_base_to_space`

What it does: Assign an existing base to a collaborative space Parameters:

space_id (string) - ID of the space to assign the base to
base_id (string) - ID of the base to assign
Perfect for: Sharing bases with your team or workspace!

10. 🌟 `create_spaces`

What it does: Create a new collaborative space for team work Parameters:

space_name (string) - Name of your new space
space_description (string) - Description of the space's purpose
Perfect for: Setting up collaborative environments for teams and projects!

服务器配置

{
  "mcpServers": {
    "huuh-mcp": {
      "command": "uvx",
      "args": [
        "huuh-mcp"
      ],
      "env": {
        "HUUH_APIK_KEY": "<yours>"
      }
    }
  }
}

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