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wisdomforge vs time

Side-by-side comparison to help you pick between these two MCP servers.

wisdomforge
by hadv
time
by modelcontextprotocol
Stars★ 4★ 85,748
30d uses
Score3377
Official
Categories
AI / LLM ToolsKnowledge GraphDeveloper Tools
ProductivityDeveloper ToolsCommunication
LanguageTypeScriptTypeScript
Last commit12 mo agothis month

wisdomforge · Summary

Knowledge management MCP server using Qdrant vector database for storing and retrieving domain knowledge.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

wisdomforge · Use cases

  • Store organizational best practices and lessons learned for team access
  • Retrieve relevant domain knowledge during AI assistant conversations
  • Capture and retrieve expert insights for decision support

time · Use cases

  • Assisting with international meeting scheduling across time zones
  • Providing real-time time information for location-based queries
  • Enabling time conversion for travel planning and itineraries

wisdomforge · Install

Installation

  1. Clone the repository:
git clone https://github.com/hadv/wisdomforge
cd wisdomforge
  1. Install dependencies:
npm install
  1. Create a .env file based on .env.example:
cp .env.example .env
  1. Configure your environment variables in .env:
DATABASE_TYPE=qdrant
COLLECTION_NAME=wisdom_collection
QDRANT_URL=https://your-qdrant-instance.example.com
QDRANT_API_KEY=your_api_key
HTTP_SERVER=true
PORT=3000
  1. Build the project:
npm run build

Claude Desktop Configuration

Add this configuration in Claude's settings:

{
  "processes": {
    "knowledge_server": {
      "command": "/path/to/wisdomforge/run-mcp.sh",
      "args": []
    }
  },
  "tools": [
    {
      "name": "store_knowledge",
      "description": "Store domain-specific knowledge in a vector database",
      "provider": "process",
      "process": "knowledge_server"
    },
    {
      "name": "retrieve_knowledge_context",
      "description": "Retrieve relevant domain knowledge from a vector database",
      "provider": "process",
      "process": "knowledge_server"
    }
  ]
}

time · Install

Installation Options

**Using uv (recommended):**

uvx mcp-server-time

**Using PIP:**

pip install mcp-server-time
python -m mcp_server_time

**Configure for Claude Desktop:**

{
  "mcpServers": {
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.