"A server for finding customer, employee, and reviewer opinions on a company across the internet" matching MCP servers:

MCP server for querying employee data via tools like get_employees and get_employee_by_id. Serves as a proof-of-concept for integrating Pega applications with AI agents.

Enables AI to interact with internal company systems through API integration, supporting data search, information updates, report generation, and system connectivity.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

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 managing employee leave records through natural language, including adding employees, listing employees, adding/deleting leave entries, and viewing leave history.

Exposes internal company services as LLM-callable MCP tools, enabling AI agents to perform business operations like customer management, order processing, and support ticketing through natural language.

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.

Provides an AI assistant with local tools to manage company profiles, financial records, employees, and notes through MCP clients like Cursor, Claude Desktop, and OpenCode, storing data entirely in local files without cloud services or API keys.

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 MCP clients to read the signed-in employee's Keka dashboard, including profile, leave, attendance, expenses, timesheets, assets, and payroll preferences, using browser session credentials without admin API keys.

A proof of concept MCP server for Apache OFBiz

Enables managing employee information, tasks (todos), and company policies via MCP tools and resources.

Provides complete MCP access to Wave Accounting, enabling AI assistants to manage invoices, payments, customers, and bookkeeping via natural language.

Enables AI assistants to interact with Odoo ERP systems through natural language, allowing users to search, create, update, and manage business records like customers, products, and invoices across any Odoo instance.

Enables AI assistants to interact with Odoo ERP systems, letting them search, create, update, and delete business records, run aggregations, invoke business workflow methods, and fetch binary attachments through natural language. It supports API key or username/password authentication, smart field selection, pagination, and multi-language responses.

An MCP server that enables AI assistants like Claude to interact with Odoo ERP systems through natural language, allowing users to search, create, update, and manage business data in their Odoo instance.

This MCP server enables users to ask natural-language questions about their QuickBooks Online company and receive answers from its live data, with read-only access guaranteed by construction. It runs entirely locally, using tools for receivables, payables, profit/loss, balance sheet, and custom queries.

An MCP server that lets AI models interact with Oracle Fusion Cloud HCM across its entire REST surface. It uses generic, schema-aware tools to dynamically discover licensed modules and resources without per-endpoint code.

Read-only MCP server for the Tipsoi HRM API, exposing 15 tools to read employee data, attendance, leave, overtime, and more.