# Data security

The MCP service implementation of GreptimeDB provides a secure and structured database access interface for AI assistants, supporting functions such as table queries, data reading, and SQL execution.

PII detection agent service

Model Context Protocol (MCP) is an open standard that allows developers to establish a secure two-way connection between data sources and AI tools. This project provides a gem package implemented in Ruby, including full development process support and type checking functions.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for Firebird databases, allowing LLMs to securely access and manipulate databases.

This project is an MCP server that connects AI assistants to Atlassian Jira, providing secure and real - time access to and interaction with Jira data, supporting project and issue queries and development information integration.

MCP Firebird is a service that implements the Anthropic Model Context Protocol (MCP) for the Firebird database, allowing large language models such as Claude to securely access and analyze database content.

The MariaDB/MySQL Database Access MCP Service provides secure read-only database query functions, including listing databases, viewing table structures, and executing SQL queries.

MCP Server is a Node.js - based backend server project that provides RESTful API, security authentication, and data processing functions, and adopts a scalable architecture.

This project implements a CRM - AI service middle layer based on the MCP protocol, providing data security processing, intelligent conversation management, and lead analysis functions. It protects sensitive data through anonymization technology and a token system, and supports integration with large - language models.

An MCP server that provides read-only query functionality for Snowflake databases, supports multiple authentication methods and SQL query operations, and can be integrated with Claude for secure data access.