Question 1

What is an MCP Server?

Accepted Answer

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.

Question 2

What are the key features of the Analytical MCP Server?

Accepted Answer

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.

Question 3

What is UBOS?

Accepted Answer

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.

Question 4

What prerequisites are required to install the Analytical MCP Server?

Accepted Answer

You need Node.js (v20+), npm, and an Exa API key for research and advanced NLP capabilities.

Question 5

How do I set up the environment variables?

Accepted Answer

Copy the `.env.example` file to `.env` in your project root and add your API keys, particularly the Exa API key.

Question 6

What kind of API key is required for the server?

Accepted Answer

The Analytical MCP Server requires an `EXA_API_KEY` for research integration and advanced NLP features.

Question 7

What are the available scripts for development?

Accepted Answer

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).

Question 8

How can I contribute to the project?

Accepted Answer

Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.

Question 9

What kind of analysis can I do using Analytical MCP Server?

Accepted Answer

You can perform Dataset Analysis, Decision Analysis, Correlation Analysis, Regression Analysis and Time Series Analysis

Question 10

What NLP capabilites are available with Analytical MCP Server?

Accepted Answer

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

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