Adaptive MCP Server
by quanticsoul4772
The Adaptive MCP (Model Context Protocol) Server is an advanced AI reasoning system designed to provide intelligent, multi-strategy solutions to complex questions. It combines multiple reasoning approaches, real-time research, and comprehensive validation for sophisticated information processing and answer generation.
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What is Adaptive MCP Server?
The Adaptive MCP Server is an AI reasoning system that uses multiple strategies, real-time research, and validation to answer complex questions.
How to use Adaptive MCP Server?
To use the Adaptive MCP Server, clone the repository, set up a virtual environment, install dependencies, configure the mcp_config.json file with your API key and reasoning strategies, and then use the reasoning_orchestrator to ask questions.
Key features of Adaptive MCP Server
Multi-Strategy Reasoning (Sequential, Branching, Abductive, Lateral, Logical)
Advanced Research Integration (Real-time information retrieval, Multiple search strategy support, Confidence-based result validation)
Comprehensive Validation (Semantic similarity checking, Factual accuracy assessment, Confidence scoring, Error detection)
Customizable Reasoning Strategies
Use cases of Adaptive MCP Server
Answering complex questions requiring multiple reasoning approaches
Real-time information retrieval and analysis
Validating information for accuracy and confidence
Designing innovative solutions
FAQ from Adaptive MCP Server
What are the prerequisites for installation?
What are the prerequisites for installation?
Python 3.8+, pip, and a virtual environment (recommended).
How do I configure the API key?
How do I configure the API key?
Create a mcp_config.json file in the project root and add your Exa Search API key.
Can I use custom reasoning strategies?
Can I use custom reasoning strategies?
Yes, you can customize the reasoning strategies by specifying them in the strategies parameter of the reasoning_orchestrator.reason function.
How do I run tests?
How do I run tests?
Use the command pytest tests/ to run all tests, or pytest tests/test_module.py to run specific module tests.
What should I do if I encounter errors?
What should I do if I encounter errors?
Ensure all dependencies are installed, check your Exa Search API key, verify network connectivity, and review logs for detailed error information.