ultimate_mcp_server vs mcp-streamable-http
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-streamable-http by invariantlabs-ai | |
|---|---|---|
| Stars | ★ 149 | ★ 129 |
| 30d uses | — | — |
| Score | 85 | 42 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Developer ToolsAI / LLM ToolsCommunication |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | 12 mo ago |
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.
mcp-streamable-http · Summary
Python and TypeScript MCP server examples implementing Streamable HTTP protocol for cross-language communication.
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
mcp-streamable-http · Use cases
- Building cross-language MCP server implementations
- Creating HTTP-based MCP transport layer
- Developing weather information MCP services
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_servermcp-streamable-http · Install
Installation
Python Example
git clone https://github.com/invariantlabs-ai/mcp-streamable-http.git
cd python-example/server
pip install .
python weather.pyTypeScript Example
cd typescript-example/server
npm install && npm run build
node build/index.jsClaude Desktop Integration
Add to Claude Desktop config.json:
"mcpServers": {
"streamable-http": {
"command": "node",
"args": ["/path/to/build/index.js"],
"env": {
"PORT": "8123"
}
}
}