Frequently Asked Questions about the Analytical MCP Server

Q: What is an MCP Server? A: An MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools by standardizing how applications provide context to LLMs.

Q: What are the key features of the Analytical MCP Server? A: The Analytical MCP Server offers analytical tools like dataset, decision, correlation, regression, and time series analysis, along with advanced NLP capabilities such as named entity recognition, sentiment analysis, and relationship extraction.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform that helps businesses orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with their own LLM models and Multi-Agent Systems.

Q: What prerequisites are required to install the Analytical MCP Server? A: You need Node.js (v20+), npm, and an Exa API key for research and advanced NLP capabilities.

Q: How do I set up the environment variables? A: Copy the .env.example file to .env in your project root and add your API keys, particularly the Exa API key.

Q: What kind of API key is required for the server? A: The Analytical MCP Server requires an EXA_API_KEY for research integration and advanced NLP features.

Q: What are the available scripts for development? A: Available scripts include npm run build (to compile TypeScript), npm test (to run all tests), npm run lint (to check code quality), and npm run format (to format code).

Q: How can I contribute to the project? A: Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.

Q: What kind of analysis can I do using Analytical MCP Server? A: You can perform Dataset Analysis, Decision Analysis, Correlation Analysis, Regression Analysis and Time Series Analysis

Q: What NLP capabilites are available with Analytical MCP Server? A: You can use Enhanced Fact Extraction, Named Entity Recognition, Coreference Resolution, Relationship Extraction, Sentiment Analysis, Text Similarity, Part of Speech Tagging, Lemmatization and Spell Checking