Excel MCP Server
The Excel MCP Server enables AI agents to seamlessly create, read, modify, and manage Excel workbooks without Microsoft Excel installed, unlocking automated dat...
4 min read
AI
Excel
+5
Data Analysis
Strava MCP Server
The Strava MCP Server bridges large language models (LLMs) with the Strava API, enabling AI assistants to securely access, analyze, and interact with fitness da...
5 min read
MCP Server
Strava
+6
Data Exploration MCP Server
The Data Exploration MCP Server connects AI assistants with external datasets for interactive analysis. It empowers users to explore CSV and Kaggle datasets, ge...
4 min read
AI
Data Science
+6
MySQL MCP Server
The MySQL MCP Server provides a secure bridge between AI assistants and MySQL databases. It enables structured database exploration, querying, and data analysis...
5 min read
MCP
MySQL
+5
Quickchart MCP Server
The Quickchart MCP Server integrates the QuickChart.io service with FlowHunt, enabling AI assistants and clients to generate dynamic charts programmatically. Id...
4 min read
AI
MCP Server
+4
Typesense MCP Server
The Typesense MCP Server connects AI agents to Typesense, an open-source search engine, enabling LLMs to search, retrieve, and analyze structured data collectio...
5 min read
AI
Search
+6
VegaLite MCP Server
The VegaLite MCP Server enables large language models to visualize and manage tabular data using Vega-Lite syntax. It provides tools for saving datasets and gen...
4 min read
AI
Visualization
+4
AI Data Analyst
An AI Data Analyst synergizes traditional data analysis skills with artificial intelligence (AI) and machine learning (ML) to extract insights, predict trends, ...
4 min read
AI
Data Analysis
+4
Clustering
Clustering is an unsupervised machine learning technique that groups similar data points together, enabling exploratory data analysis without labeled data. Lear...
4 min read
AI
Clustering
+3
Content Enrichment
Content Enrichment with AI enhances raw, unstructured content by applying artificial intelligence techniques to extract meaningful information, structure, and i...
11 min read
AI
Content Enrichment
+7
Exploratory Data Analysis (EDA)
Exploratory Data Analysis (EDA) is a process that summarizes dataset characteristics using visual methods to uncover patterns, detect anomalies, and inform data...
2 min read
EDA
Data Analysis
+3
Insight Engine
Discover what an Insight Engine is—an advanced, AI-driven platform that enhances data search and analysis by understanding context and intent. Learn how Insight...
11 min read
AI
Insight Engine
+5
Pandas
Pandas is an open-source data manipulation and analysis library for Python, renowned for its versatility, robust data structures, and ease of use in handling co...
7 min read
Pandas
Python
+4
Pattern Recognition
Pattern recognition is a computational process for identifying patterns and regularities in data, crucial in fields like AI, computer science, psychology, and d...
6 min read
Pattern Recognition
AI
+6
Predictive Analytics
Learn more about predictive analytics technology in AI, how the process works, and how it benefits various industries.
4 min read
Predictive Analytics
AI
+4
SciPy
SciPy is a robust open-source Python library for scientific and technical computing. Building on NumPy, it offers advanced mathematical algorithms, optimization...
5 min read
SciPy
Python
+5
Structured Data
Learn more about structured data and its usage, see examples, and compare it to other types of data structures.
5 min read
Structured Data
Data Management
+3
Unstructured Data
Find out what is unstructured data and how it compares to structured data. Learn about the challenges, and tools used for unstructured data.
6 min read
Unstructured Data
Structured Data
+4
Unsupervised Learning
Unsupervised learning is a machine learning technique that trains algorithms on unlabeled data to discover hidden patterns, structures, and relationships. Commo...
3 min read
Unsupervised Learning
Machine Learning
+4