A templated MCP server for demonstration and quick start.
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# sokrates-mcp [](https://opensource.org/licenses/MIT) [](https://github.com/Kubementat/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](https://github.com/Kubementat/sokrates). ## Installation & Setup ### Prerequisites Ensure you have: * Python 3.10+ * uv (fast package installer) ### Install from PyPi ```bash pip install sokrates-mcp # or using uv (recommended) ## basic version: uv pip install sokrates-mcp ``` ### Alternative - Local Configuration from git 1. Clone the repository if hosted: ```bash git clone https://github.com/Kubementat/sokrates-mcp.git cd sokrates-mcp ``` 2. Install dependencies using pyproject.toml: ```bash uv sync ``` ### Setup Server Configuration File #### Via git installed version ```bash 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: ```bash mkdir $HOME/.sokrates-mcp vim $HOME/.sokrates-mcp/config.yml ``` Then use this as template and adjust it to your use case: ```yaml 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_endp…
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