"Employee Attrition Analysis and Prediction MCP" matching MCP servers:

MCP server that connects Claude to a MySQL employees database, enabling listing, searching, adding, and analyzing employee records through natural language.

An MCP server that provides tools to query and analyze an employee knowledge graph in Neo4j, including semantic resume search, person similarity, and read-only Cypher queries.

Enables managing employee leave through natural language, including checking balances, applying for or canceling leave, and viewing history, with data stored in a local SQLite database.

Enables MySQL database analysis through natural language, including schema exploration, query execution, performance analysis, and ER diagram generation via the Model Context Protocol.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Connects Claude Desktop to a healthcare claims database for natural-language analysis of CPT codes, reimbursement rates, payer performance, and denial patterns.

An MCP server designed for SQL analysis that demonstrates sampling capabilities by interacting with SQL files in a local directory. It provides a framework for testing client-side sampling while managing SQL-based contexts.

Enables forensic analysis of Windows notification databases (wpndatabase.db) from E01 forensic images, automatically extracting and parsing notification data with search, filtering, timeline analysis, and sensitive information detection capabilities.

Enables interaction with employee management systems through a standardized MCP interface. Supports comprehensive employee operations including CRUD operations, search, filtering by level/status, and data synchronization.

Enables querying and managing an employee directory through MCP tools and resources, including listing, searching, adding, updating, and deleting employees.

Enables AI assistants to manage employee data through a REST API with full CRUD operations. Provides tools to create, read, update, and delete employee records via the Model Context Protocol.

This read-only MCP Server allows you to connect to Azure Analysis Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Enables managing employee records by providing tools to list directories, retrieve detailed profiles, and search for staff by department. It integrates with Claude Desktop to allow users to interact with employee data through natural language commands.

Enables LLMs to interact with a CRM system through natural language to manage employees, including creating, updating, searching, and viewing employee records and statistics.

Enables querying sales data, identifying out-of-stock products, viewing top sellers, and receiving restock suggestions through natural language.

Enables natural language queries over employee and project data by exposing database-backed business tools to a Gemini agent, allowing the agent to fetch live details from PostgreSQL and answer with readable responses.

Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.