Analytical MCP Server

A specialized Model Context Protocol (MCP) server providing advanced analytical, research, and natural language processing capabilities.

Key Features

Analytical Tools

• Dataset Analysis

• Decision Analysis

• Correlation Analysis

• Regression Analysis

• Time Series Analysis

• Hypothesis Testing

Advanced NLP Capabilities

• Enhanced Fact Extraction

• Named Entity Recognition

• Coreference Resolution

• Relationship Extraction

• Sentiment Analysis

• Text Similarity

• Part of Speech Tagging

• Lemmatization

• Spell Checking

Related MCP server: CodeAnalysis MCP Server

Installation

Prerequisites

• Node.js (v20+)

• npm

• Exa API key (for research and advanced NLP capabilities)

Setup

1. Clone the repository

2. Install dependencies:

   npm install

3. Set up your environment variables:

   # Copy the example environment file cp .env.example .env # Edit .env and add your API keys # You'll need an Exa API key for research functionality

4. Build the project:

   npm run build

Usage

Running Tools

Each tool can be invoked with specific parameters. Example:

Advanced NLP Demo

You can run the included NLP demo to see the advanced capabilities in action:

Development

Available Scripts

• npm run build: Compile TypeScript

• npm test: Run all tests

• npm run test:integration: Run integration tests only

• npm run test:exa: Run Exa Research API tests

• npm run test:research: Run Research Verification tests

• npm run test:server: Run Server Tool Registration tests

• npm run lint: Check code quality

• npm run format: Format code

• npm run nlp:demo: Run advanced NLP demo

Test Scripts

We provide dedicated scripts for running specific test suites:

Unix/Linux/Mac

Windows

Key Technologies

• TypeScript

• Model Context Protocol SDK

• Exa API for Research and NLP

• Natural Language Processing libraries

• Jest for Testing

Advanced NLP Implementation

The Analytical MCP Server implements advanced NLP features using:

• Exa research API for context-aware entity recognition

• Natural language toolkit for basic NLP operations

• Custom rule-based fallback mechanisms for offline capabilities

• Enhanced fact extraction with confidence scoring

• Relationship extraction between entities

For detailed information, see the Advanced NLP documentation.

Required API Keys

This project requires the following API key:

• EXA_API_KEY: Used for research integration and advanced NLP

The .env.example file contains all available configuration options:

• API keys

• Feature flags

• Cache settings

• NLP configuration

• Server configuration

Copy this file to .env in your project root and update with your actual API keys to get started.

Contributing

1. Fork the repository

2. Create a feature branch

3. Commit your changes

4. Push to the branch

5. Create a Pull Request

License

MIT License