ultimate_mcp_server vs mcp-1c
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-1c by feenlace | |
|---|---|---|
| Stars | ★ 149 | ★ 98 |
| 30d uses | — | — |
| Score | 85 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Developer ToolsAI / LLM ToolsDatabase |
| Language | Python | Go |
| Last commit | 2 mo ago | this month |
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-1c · Summary
MCP server for 1C:Enterprise that provides AI assistants with metadata and generates accurate BSL code through 9 tools.
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-1c · Use cases
- AI assistants analyzing 1C configuration structure and generating accurate BSL code
- Code search and refactoring assistance across 1C modules
- Query optimization and validation for 1C databases
- BSL syntax help for developers working with 1C:Enterprise
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-1c · Install
Installation
- Download the binary for your OS from [Releases](https://github.com/feenlace/mcp-1c/releases)
- Install the extension in your 1C database:
```bash # Windows mcp-1c --install "C:\путь\к\базе"
# macOS / Linux mcp-1c --install ~/Documents/InfoBase ```
- Start the HTTP service for 1C
- Configure your AI client with the MCP server:
{
"mcpServers": {
"1c": {
"command": "/path/to/mcp-1c",
"args": ["--base", "http://localhost:8080/hs/mcp-1c"]
}
}
}