MCP Server for orchestrating LLM interactions
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# 🧠 Hive Mind MCP - LLM Orchestrator [](https://github.com/franciscojunqueira/hive-mind-mcp/actions) [](https://pypi.org/project/hive-mind-mcp/) [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/franciscojunqueira/hive-mind-mcp/actions) **A powerful Model Context Protocol (MCP) server that enables advanced Multi-LLM collaboration workflows.** Transform simple chat interactions into sophisticated "Council of Experts" sessions. This orchestrator connects OpenAI, Anthropic, DeepSeek, Google Gemini, and Local models (Ollama) to debate, refine, and validate code and content autonomously. ## ✨ Key Features * **🏰 Round Table**: Run a full *Round Table* — Independent generation from 3+ models, cross-critique, and final consensus synthesis. * **👥 Collaborative Refine**: A "Drafter" model writes code, while a "Council" of critics (Claude + DeepSeek) reviews it iteratively. * **✈️ Auto-Pilot (Adaptive Selection)**: Intelligent analysis of request complexity to automatically route tasks. ```mermaid graph LR Req[User Request] --> Analyzer{Complexity Analyzer} Analyzer -->|High Complexity| SOTA["SOTA Tier (GPT-4o)"] Analyzer -->|Medium| ADV["Advanced Tier (GPT-4o-mini)"] Analyzer -->|Low| BASIC["Basic Tier (Llama 3)"] SOTA --> Result ADV --> Result BASIC --> Result ``` * **🧠 Intelligence Tiers**: Abstracted model selection using `SOTA`, `ADVANCED`, and `BASIC` tiers managed via `config.yaml`. * **🏗️ Workflow Pipelines**: Define complex sequential tasks. ```mermaid graph TD Start((Start)) --> Input[/Input/] Input --> Step1[Process] Step1 --> Decision{Check Condition} …
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