askimo vs ultimate_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
askimo by askimo-ai | ultimate_mcp_server by Dicklesworthstone | |
|---|---|---|
| Stars | ★ 110 | ★ 149 |
| 30d uses | — | — |
| Score | 47 | 85 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsBrowser AutomationFile System |
| Language | Kotlin | Python |
| Last commit | this month | 2 mo ago |
askimo · Summary
A desktop-first AI agent platform that integrates MCP tools, enabling local-first workflows with multiple AI models.
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.
askimo · Use cases
- Connecting MCP servers for enhanced AI tool capabilities in desktop workflows
- Using local RAG to search and chat with personal documents without cloud uploads
- Building multi-step AI Plans to automate complex reasoning tasks and generate deliverables
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
askimo · Install
Install Askimo
- Download the appropriate binary for your platform (macOS, Windows, or Linux) from [GitHub releases](https://github.com/askimo-ai/askimo/releases)
- Install and open the application
- Add an AI provider by pasting an API key or connecting to a local model
MCP Configuration
- Go to Settings > MCP Tools
- Add a new MCP server with:
- Name (e.g., "File Explorer") - Connection type (stdio or HTTP) - Command or URL - Arguments (if needed)
- Enable the server and select which tools to use
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