gptr-mcp vs ultimate_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
gptr-mcp by assafelovic | ultimate_mcp_server by Dicklesworthstone | |
|---|---|---|
| Stars | ★ 346 | ★ 149 |
| 30d uses | — | — |
| Score | 47 | 85 |
| Official | — | — |
| Categories | SearchAI / LLM ToolsProductivity | AI / LLM ToolsBrowser AutomationFile System |
| Language | Python | Python |
| Last commit | 6 mo ago | 2 mo ago |
gptr-mcp · Summary
MCP server for deep research, providing comprehensive web search and report generation capabilities.
ultimate_mcp_server · Summary
Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.
gptr-mcp · Use cases
- Investment research and analysis
- Competitive intelligence gathering
- Academic research support
- Market trend analysis
- Content creation with verified sources
ultimate_mcp_server · Use cases
- Complex document processing and analysis with OCR and structured data extraction
- Web automation and research across multiple sites with browser control
- Cost-optimized AI workflows through intelligent task delegation between models
gptr-mcp · Install
Installation
- Clone the repository:
git clone https://github.com/assafelovic/gpt-researcher.git
cd gpt-researcher/cd gptr-mcp- Install dependencies:
pip install -r requirements.txt- Set up environment variables:
cp .env.example .env
# Edit .env with your API keysClaude Desktop Configuration
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"gptr-mcp": {
"command": "python",
"args": ["/absolute/path/to/gptr-mcp/server.py"],
"env": {
"OPENAI_API_KEY": "your-openai-key-here",
"TAVILY_API_KEY": "your-tavily-key-here"
}
}
}
}Running the Server
- Directly:
python server.py - With Docker:
docker-compose up -d
ultimate_mcp_server · Install
Installation
- Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server- Install dependencies:
pip install -e .- For Claude Desktop integration, add to your claude_desktop_config.json:
{
"mcpServers": {
"ultimate-mcp": {
"command": "python",
"args": ["-m", "ultimate_mcp_server"],
"env": {
"PYTHONPATH": "."
}
}
}
}- Run the server:
python -m ultimate_mcp_server