Analytical MCP Server
by quanticsoul4772
The Analytical MCP Server is a specialized Model Context Protocol (MCP) server that provides advanced analytical, research, and natural language processing capabilities. It offers tools for dataset analysis, NLP tasks, and research verification.
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What is Analytical MCP Server?
The Analytical MCP Server is a specialized server built on the Model Context Protocol (MCP) designed to provide advanced analytical and natural language processing capabilities. It leverages the Exa API for research and NLP enhancements, offering tools for dataset analysis, research verification, and various NLP tasks.
How to use Analytical MCP Server?
To use the Analytical MCP Server, you need to clone the repository, install the dependencies using npm install, configure your environment variables (including the Exa API key), and build the project using npm run build. You can then invoke the tools with specific parameters as shown in the examples, or run the advanced NLP demo using npm run nlp:demo.
Key features of Analytical MCP Server
Dataset Analysis
Advanced NLP Capabilities
Research Verification
Correlation Analysis
Regression Analysis
Time Series Analysis
Hypothesis Testing
Enhanced Fact Extraction
Named Entity Recognition
Coreference Resolution
Relationship Extraction
Sentiment Analysis
Text Similarity
Part of Speech Tagging
Lemmatization
Spell Checking
Use cases of Analytical MCP Server
Analyzing datasets to identify trends and patterns
Verifying research claims using external sources
Extracting entities and relationships from text
Performing sentiment analysis on customer feedback
Improving the accuracy of NLP models using context-aware entity recognition
Automating research tasks using the Exa API
Building intelligent applications that leverage NLP and analytics
FAQ from Analytical MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The README doesn't specify what the Model Context Protocol is.
What is the Exa API used for?
What is the Exa API used for?
The Exa API is used for research integration and advanced NLP capabilities, including context-aware entity recognition.
What API keys are required to run the server?
What API keys are required to run the server?
The server requires an EXA_API_KEY for research integration and advanced NLP.
How do I run the integration tests?
How do I run the integration tests?
You can run integration tests using the provided scripts in the tools directory, such as ./tools/run-all-integration-tests.sh (Unix/Linux/Mac) or .\tools\run-all-integration-tests.bat (Windows).
Where can I find more detailed information about the advanced NLP implementation?
Where can I find more detailed information about the advanced NLP implementation?
Detailed information about the advanced NLP implementation can be found in the Advanced NLP documentation.