sokrates-mcp
An MCP server for prompt refinement, task breakdown, code reviews, and idea generation using the sokrates Python library and multiple AI providers.
README
sokrates-mcp
A MCP server offering tools for prompt refinement and execution workflows using the FastMCP framework and the sokrates python library.
Features
- Multiple provider/APU support
- Available Model/Provider listing
- Prompt refinement with different types (code/default)
- External LLM processing
- Task breakdown into sub-tasks
- Create code reviews for Python source files
- Generate random ideas
- Generate ideas to a topic
Have a look at the sokrates library.
Installation & Setup
Prerequisites
Ensure you have:
- Python 3.10+
- uv (fast package installer)
Install from PyPi
pip install sokrates-mcp
# or using uv (recommended)
## basic version:
uv pip install sokrates-mcp
Alternative - Local Configuration from git
- Clone the repository if hosted:
git clone https://github.com/Kubementat/sokrates-mcp.git
cd sokrates-mcp
- Install dependencies using pyproject.toml:
uv sync
Setup Server Configuration File
Via git installed version
mkdir $HOME/.sokrates-mcp
cp config.yml.example $HOME/.sokrates-mcp/config.yml
# edit the according endpoints to your use case
vim $HOME/.sokrates-mcp/config.yml
From scratch
Create the configuration file:
mkdir $HOME/.sokrates-mcp
vim $HOME/.sokrates-mcp/config.yml
Then use this as template and adjust it to your use case:
refinement_prompt_filename: refine-prompt.md
refinement_coding_prompt_filename: refine-coding-v3.md
# providers
default_provider: local
providers:
- name: local
type: openai
api_endpoint: http://localhost:1234/v1
api_key: "not-required"
default_model: "qwen/qwen3-4b-2507"
- name: external
type: openai
api_endpoint: http://CHANGEME/v1
api_key: CHANGEME
default_model: CHANGEME
Setup as mcp server in other tools (Example for LM Studio)
For local Git installed version
{
"mcpServers": {
"sokrates": {
"command": "uv",
"args": [
"run",
"sokrates-mcp"
],
"cwd": "YOUR_PATH_TO_sokrates-mcp",
"timeout": 600000
}
}
}
via uvx
{
"mcpServers": {
"sokrates": {
"command": "uvx",
"args": [
"sokrates-mcp"
]
}
}
}
Usage Examples
Starting the Server
# from local git repo
uv run sokrates-mcp
# without checking out the git repo
uvx sokrates-mcp
Listing available command line options
# from local git repo
uv run sokrates-mcp --help
# without checking out the git repo
uvx sokrates-mcp --help
Architecture & Technical Details
The server follows a modular design pattern:
- Tools are registered in
main.pyusing FastMCP decorators - Dependency management via pyproject.toml
- Configuration files stored in
$HOME/.sokrates-mcp/directory
Contributing Guidelines
- Fork the repository and create feature branches
- Follow PEP8 style guide with 4-space indentation
- Submit pull requests with:
- Clear description of changes
- Updated tests (see Testing section)
- Documentation updates
Available Tools
See the main.py file for a list of all mcp tools in the server
Project Structure
src/sokrates_mcp/main.py: Sets up the MCP server and registers toolssrc/sokrates_mcp/mcp_config.py: Configuration managementsrc/sokrates_mcp/utils.py: Helper and utility methodssrc/sokrates_mcp/workflow.py: Business logic for prompt refinement and executionpyproject.toml: Dependency management
Common Error: If you see "ModuleNotFoundError: fastmcp", ensure:
- Dependencies are installed (
uv sync) - Python virtual environment is activated
Changelog
0.4.3 (Sep 2025)
- bugfix in workflow class - fix refinement workflow
0.4.2 (Sep 2025)
- Update version to 0.4.2
0.4.1 (Sep 2025)
- fix roll_dice tool
0.4.0 (Aug 2025)
- adds new tools:
- read_files_from_directory
- directory_tree
- logging refactoring in workflow.py
0.3.0 (Aug 2025)
- adds new tools:
- roll_dice
- read_from_file
- store_to_file
- refactorings - code quality - still ongoing
0.2.0 (Aug 2025)
- First published version
- Update to latest sokrates library version
- bugfixes and cleanup
- multi provider/API support in the configuration file
0.1.5 (July 2025)
- Updated README with comprehensive documentation
- Added tool descriptions and usage examples
- Improved project structure overview
0.1.0 (March 7, 2025)
- Initial release with refinement tools
- Basic FastMCP integration
Bug reports and feature requests: GitHub Issues
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