time vs decipher-research-agent
Side-by-side comparison to help you pick between these two MCP servers.
time by modelcontextprotocol | decipher-research-agent by mtwn105 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 151 |
| 30d uses | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | ProductivityDeveloper ToolsCommunication | Web ScrapingAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 12 mo ago |
time · Summary
A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.
decipher-research-agent · Summary
AI-powered research assistant that uses MCP server to create interactive notebooks from web sources.
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
decipher-research-agent · Use cases
- Academic researchers analyzing multiple sources for literature reviews
- Market researchers conducting competitive intelligence across regions
- Journalists investigating topics with geo-restricted information
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"]
}
}
}decipher-research-agent · Install
Installation
Prerequisites
- Node.js 20+ and pnpm
- Python 3.12+ and uv
- PostgreSQL 14+
Quick Start
- Clone the repository
git clone https://github.com/mtwn105/decipher-research-agent.git
cd decipher-research-agent- Set up the frontend
cd client
pnpm install
cp .env.example .env.local
# Configure your environment variables
pnpm prisma generate
pnpm prisma migrate dev- Set up the backend
cd ../backend
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv sync
cp .env.example .env
# Configure your environment variables- Start the development servers
# Terminal 1 - Frontend
cd client && pnpm dev
# Terminal 2 - Backend
cd backend && uv run uvicorn server:app --host 0.0.0.0 --port 8001MCP Configuration
This project uses Bright Data's MCP Server. After getting your API token, configure it in your environment variables.